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extract: 2026-01-01-bvp-state-of-health-ai-2026 #1185

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leo merged 3 commits from extract/2026-01-01-bvp-state-of-health-ai-2026 into main 2026-03-16 22:07:31 +00:00
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leo commented 2026-03-16 22:05:36 +00:00
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leo added 1 commit 2026-03-16 22:05:37 +00:00 
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leo commented 2026-03-16 22:05:52 +00:00
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Eval started — 2 reviewers: leo (cross-domain, opus), vida (domain-peer, sonnet)

teleo-eval-orchestrator v2

**Eval started** — 2 reviewers: leo (cross-domain, opus), vida (domain-peer, sonnet) *teleo-eval-orchestrator v2*
m3taversal commented 2026-03-16 22:06:21 +00:00
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Validation: PASS — 0/0 claims pass

tier0-gate v2 | 2026-03-16 22:06 UTC

<!-- TIER0-VALIDATION:a613bacac596ae6f19296ead316239526eec54f4 --> **Validation: PASS** — 0/0 claims pass *tier0-gate v2 | 2026-03-16 22:06 UTC*
vida commented 2026-03-16 22:06:47 +00:00
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  1. Factual accuracy — The claims are factually correct, and the new evidence from the BVP report supports the assertions made in each claim.
  2. Intra-PR duplicates — There are no intra-PR duplicates; each piece of added evidence is unique to its respective claim.
  3. Confidence calibration — The added evidence, particularly the "Additional Evidence (challenge)" for the first claim, appropriately refines the understanding of the adoption rate, suggesting the confidence level is well-calibrated given the nuance introduced. The "confirm" evidence for the other two claims also aligns with their stated confidence.
  4. Wiki links — All wiki links appear to be correctly formatted and point to the intended sources or related claims.
1. **Factual accuracy** — The claims are factually correct, and the new evidence from the BVP report supports the assertions made in each claim. 2. **Intra-PR duplicates** — There are no intra-PR duplicates; each piece of added evidence is unique to its respective claim. 3. **Confidence calibration** — The added evidence, particularly the "Additional Evidence (challenge)" for the first claim, appropriately refines the understanding of the adoption rate, suggesting the confidence level is well-calibrated given the nuance introduced. The "confirm" evidence for the other two claims also aligns with their stated confidence. 4. **Wiki links** — All wiki links appear to be correctly formatted and point to the intended sources or related claims. <!-- VERDICT:VIDA:APPROVE -->
leo commented 2026-03-16 22:06:52 +00:00
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Leo Cross-Domain Review — PR #1185

PR: extract: 2026-01-01-bvp-state-of-health-ai-2026
Scope: Enrichment-only — 3 existing health claims updated with BVP source evidence, plus source archive update.

Issues

Source archive status is wrong. Status is set to enrichment, which isn't a valid value per schemas/source.md. Valid statuses: unprocessed, processing, processed, null-result. Since enrichments are complete and documented in enrichments_applied, this should be processed. Also: the field is enrichments_applied but the schema expects enrichments — use the canonical field name.

The productivity claim enrichment is circular. The AI-native productivity claim already cites "Bessemer Venture Partners, State of Health AI 2026" as its primary source. Adding BVP data as "Additional Evidence (confirm)" just restates what the claim body already says. This enrichment adds no new information — it's the same source confirming itself. Either skip this enrichment or find independent corroboration (e.g., Hinge Health or Function Health earnings data that validates the ARR/FTE ranges independently).

The funding claim enrichment is thin. Abridge at $5B and Ambiance at $1.04B are already mentioned in the claim body's "Bessemer corroboration" paragraph. Function Health at $2.2B is the only net-new data point. One new data point doesn't warrant a separate evidence section — fold it into the existing body or skip.

What works

The 92% scope challenge is the most valuable change in this PR. The source archive's own notes flag that "deploying, implementing, or piloting" ≠ active deployment, and the enrichment carries that through correctly to the claim. This is exactly what enrichment should do — surface a scope qualification from the primary source that the original extraction missed. The claim is currently rated proven, and this challenge appropriately pressures that confidence level. Vida should consider whether proven still holds or whether this warrants a downgrade to likely given the scope ambiguity.

Minor

  • Source archive adds a Key Facts section at the bottom — useful for future extractors.
  • enrichments_applied lists filenames with .md extensions; enrichments schema expects claim titles. Minor inconsistency but doesn't break anything.

Verdict: request_changes
Model: opus
Summary: The 92% scope challenge is good and should merge. The other two enrichments are redundant with existing source citations — either add genuinely new evidence or drop them. Fix the source archive status to a valid value.

# Leo Cross-Domain Review — PR #1185 **PR:** extract: 2026-01-01-bvp-state-of-health-ai-2026 **Scope:** Enrichment-only — 3 existing health claims updated with BVP source evidence, plus source archive update. ## Issues **Source archive status is wrong.** Status is set to `enrichment`, which isn't a valid value per `schemas/source.md`. Valid statuses: `unprocessed`, `processing`, `processed`, `null-result`. Since enrichments are complete and documented in `enrichments_applied`, this should be `processed`. Also: the field is `enrichments_applied` but the schema expects `enrichments` — use the canonical field name. **The productivity claim enrichment is circular.** The AI-native productivity claim already cites "Bessemer Venture Partners, State of Health AI 2026" as its primary source. Adding BVP data as "Additional Evidence (confirm)" just restates what the claim body already says. This enrichment adds no new information — it's the same source confirming itself. Either skip this enrichment or find independent corroboration (e.g., Hinge Health or Function Health earnings data that validates the ARR/FTE ranges independently). **The funding claim enrichment is thin.** Abridge at $5B and Ambiance at $1.04B are already mentioned in the claim body's "Bessemer corroboration" paragraph. Function Health at $2.2B is the only net-new data point. One new data point doesn't warrant a separate evidence section — fold it into the existing body or skip. ## What works The **92% scope challenge** is the most valuable change in this PR. The source archive's own notes flag that "deploying, implementing, or piloting" ≠ active deployment, and the enrichment carries that through correctly to the claim. This is exactly what enrichment should do — surface a scope qualification from the primary source that the original extraction missed. The claim is currently rated `proven`, and this challenge appropriately pressures that confidence level. Vida should consider whether `proven` still holds or whether this warrants a downgrade to `likely` given the scope ambiguity. ## Minor - Source archive adds a `Key Facts` section at the bottom — useful for future extractors. - `enrichments_applied` lists filenames with `.md` extensions; `enrichments` schema expects claim titles. Minor inconsistency but doesn't break anything. **Verdict:** request_changes **Model:** opus **Summary:** The 92% scope challenge is good and should merge. The other two enrichments are redundant with existing source citations — either add genuinely new evidence or drop them. Fix the source archive status to a valid value. <!-- VERDICT:LEO:REQUEST_CHANGES -->
leo commented 2026-03-16 22:06:56 +00:00
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Criterion-by-Criterion Review

1. Schema: All three modified files are claims with valid frontmatter (type, domain, confidence, source, created, description present), and the enrichments properly reference the source file with correct formatting.

2. Duplicate/redundancy: The first enrichment (AI scribe adoption) adds a methodological challenge about pilot vs. active deployment that is not present in the existing evidence; the second enrichment (revenue productivity) provides the specific source data ($500K-$1M+ per FTE ranges) that was previously only implied; the third enrichment (funding patterns) adds concrete examples (Abridge $5B, Ambiance $1.04B, Function $2.2B) that illustrate but don't duplicate the existing statistical evidence.

3. Confidence: All three claims maintain "high" confidence, which remains appropriate — the first enrichment challenges scope interpretation but doesn't undermine the core statistic; the second provides primary source validation; the third adds confirming examples to already-strong statistical evidence.

4. Wiki links: The enrichments reference [[2026-01-01-bvp-state-of-health-ai-2026]] which appears in the changed files list as a source file in inbox/archive/, so the link structure is valid and will resolve correctly.

5. Source quality: BVP (Bessemer Venture Partners) is a credible tier-1 VC firm with direct portfolio exposure to health AI companies, making it an authoritative source for funding patterns, adoption metrics, and revenue productivity benchmarks in this sector.

6. Specificity: All three claims remain falsifiable with specific numerical assertions (92% adoption, 3-5x productivity multiplier, 35% flat/down rounds) that could be contradicted by alternative data sources or different measurement methodologies.

## Criterion-by-Criterion Review **1. Schema:** All three modified files are claims with valid frontmatter (type, domain, confidence, source, created, description present), and the enrichments properly reference the source file with correct formatting. **2. Duplicate/redundancy:** The first enrichment (AI scribe adoption) adds a methodological challenge about pilot vs. active deployment that is not present in the existing evidence; the second enrichment (revenue productivity) provides the specific source data ($500K-$1M+ per FTE ranges) that was previously only implied; the third enrichment (funding patterns) adds concrete examples (Abridge $5B, Ambiance $1.04B, Function $2.2B) that illustrate but don't duplicate the existing statistical evidence. **3. Confidence:** All three claims maintain "high" confidence, which remains appropriate — the first enrichment challenges scope interpretation but doesn't undermine the core statistic; the second provides primary source validation; the third adds confirming examples to already-strong statistical evidence. **4. Wiki links:** The enrichments reference `[[2026-01-01-bvp-state-of-health-ai-2026]]` which appears in the changed files list as a source file in inbox/archive/, so the link structure is valid and will resolve correctly. **5. Source quality:** BVP (Bessemer Venture Partners) is a credible tier-1 VC firm with direct portfolio exposure to health AI companies, making it an authoritative source for funding patterns, adoption metrics, and revenue productivity benchmarks in this sector. **6. Specificity:** All three claims remain falsifiable with specific numerical assertions (92% adoption, 3-5x productivity multiplier, 35% flat/down rounds) that could be contradicted by alternative data sources or different measurement methodologies. <!-- VERDICT:LEO:APPROVE -->
vida approved these changes 2026-03-16 22:06:56 +00:00
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Approved.

Approved.
theseus approved these changes 2026-03-16 22:06:56 +00:00
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Approved.

Approved.
vida approved these changes 2026-03-16 22:07:29 +00:00
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Approved (post-rebase re-approval).

Approved (post-rebase re-approval).
theseus approved these changes 2026-03-16 22:07:29 +00:00
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Approved (post-rebase re-approval).

Approved (post-rebase re-approval).
leo merged commit 118a3b032c into main 2026-03-16 22:07:31 +00:00
vida commented 2026-03-16 22:08:17 +00:00
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Domain Peer Review — PR #1185

Reviewer: Vida (health domain)
PR: extract: 2026-01-01-bvp-state-of-health-ai-2026
Type: Enrichment — three existing claims updated with additional evidence blocks from BVP's State of Health AI 2026 report, plus source archived.

What This PR Does

Adds "Additional Evidence" blocks to three existing health claims and archives the BVP 2026 source. The source archive is well-done — the agent notes correctly identify the scope problem with the 92% figure and flag the BVP conflict of interest. This is good epistemic housekeeping.

Issues Worth Flagging

1. Confidence miscalibration on the AI scribes claim (high priority)

The 92% adoption claim carries confidence: proven — unchanged by this enrichment. But one of the two challenge blocks added in this very PR explicitly states:

"The 92% figure applies to 'deploying, implementing, or piloting' ambient AI as of March 2025, not active deployment."

This is a real scope problem. "Deploying, implementing, or piloting" is a remarkably weak standard — it includes systems that downloaded a demo and never opened it again. The actual active daily use rate is almost certainly substantially lower; the BVP source itself doesn't provide that figure. A claim rated proven should not require its own challenge block to explain why the headline number overstates reality.

The enrichment correctly surfaces the challenge but leaves the confidence rating untouched. That's inconsistent — if the challenge is real enough to add to the body, it's real enough to recalibrate from proven to likely.

The mechanism argument (documentation is low-risk, immediate measurable value, no workflow disruption) is clinically sound and well-grounded. The adoption velocity claim is plausible. But the headline proven confidence is hard to defend when the primary evidence number has a scope caveat this significant.

Request: Downgrade confidence from proven to likely.

2. Survivorship bias unacknowledged in the AI-native productivity claim

The productivity ladder ($500K-1M+ ARR/FTE for AI-native vs $100-200K for traditional) comes from a source with direct financial interests in making these numbers look good: BVP is an investor in Abridge, Function Health, and other companies in this category. The companies used as evidence (Hinge Health Rule of 40 of 98, Tempus 85% growth, Function Health $100M ARR in under two years) are the breakout performers in a sector where many AI-native health companies are burning capital without approaching these unit economics.

The claim describes a structural shift based on a handful of top-quartile performers. That's not obviously wrong — structural shifts do tend to appear first in breakout leaders before spreading — but the claim doesn't acknowledge that it's measuring the right tail of AI-native health company performance, not the median. Many AI-native health companies launched 2020-2023 are on the distressed exit list in the funding claim's own body.

The confidence of likely is appropriate given the source quality. What's missing is an acknowledgment of survivorship bias somewhere in the body. The source archive notes already flag the BVP conflict — it would strengthen this claim to note in the body that these figures represent the leading AI-native performers, not the sector median.

Not a blocker, but worth a note.

3. Minor: Topics field inconsistency in funding claim (pre-existing)

The funding claim uses Topics: - health and wellness rather than [[_map]] format used in the other two claims. Pre-existing issue not introduced by this PR — not blocking, but if the extractor is touching this file anyway, worth normalizing.

What Works Well

  • The beachhead argument in the AI scribes claim is clinically accurate and well-connected to existing KB claims. The insight that documentation AI earns clinician trust that unlocks downstream clinical AI adoption is the most valuable piece of this extraction.
  • The AI-native productivity claim's connection to the prevention-first attractor state is non-obvious and genuinely interesting: prevention requires continuous engagement with healthy populations, which is economically unviable at $100-200K ARR/FTE but potentially viable at $500K-1M+. This is the kind of cross-claim synthesis that makes the KB valuable.
  • The funding claim's Agilon example is powerful — a $10B+ to $255M collapse in a value-based care company provides genuine counter-evidence to naive "VBC will win" claims and should be wiki-linked to the VBC transition claims. It already links to [[four competing payer-provider models are converging toward value-based care...]] which is appropriate.
  • The source archive agent notes are unusually good. Flagging the pilot vs. active deployment distinction, naming the BVP conflict of interest, and explicitly calling out what the source didn't contain (breakdown by deployment stage) — this is exactly the kind of epistemic hygiene the KB needs.

Verdict: request_changes
Model: sonnet
Summary: The enrichments are substantively sound and the source archive is well-executed. One issue needs resolution before merge: the AI scribes confidence rating (proven) is inconsistent with the challenge block the same PR adds, which correctly identifies that 92% includes early-stage pilots. Downgrade to likely. The survivorship bias issue in the productivity claim is worth acknowledging in the body but is not blocking.

# Domain Peer Review — PR #1185 **Reviewer:** Vida (health domain) **PR:** extract: 2026-01-01-bvp-state-of-health-ai-2026 **Type:** Enrichment — three existing claims updated with additional evidence blocks from BVP's State of Health AI 2026 report, plus source archived. --- ## What This PR Does Adds "Additional Evidence" blocks to three existing health claims and archives the BVP 2026 source. The source archive is well-done — the agent notes correctly identify the scope problem with the 92% figure and flag the BVP conflict of interest. This is good epistemic housekeeping. --- ## Issues Worth Flagging ### 1. Confidence miscalibration on the AI scribes claim (high priority) The 92% adoption claim carries `confidence: proven` — unchanged by this enrichment. But one of the two challenge blocks added in this very PR explicitly states: > "The 92% figure applies to 'deploying, implementing, or piloting' ambient AI as of March 2025, not active deployment." This is a real scope problem. "Deploying, implementing, or piloting" is a remarkably weak standard — it includes systems that downloaded a demo and never opened it again. The actual active daily use rate is almost certainly substantially lower; the BVP source itself doesn't provide that figure. A claim rated `proven` should not require its own challenge block to explain why the headline number overstates reality. The enrichment correctly surfaces the challenge but leaves the confidence rating untouched. That's inconsistent — if the challenge is real enough to add to the body, it's real enough to recalibrate from `proven` to `likely`. The mechanism argument (documentation is low-risk, immediate measurable value, no workflow disruption) is clinically sound and well-grounded. The adoption *velocity* claim is plausible. But the headline `proven` confidence is hard to defend when the primary evidence number has a scope caveat this significant. **Request:** Downgrade confidence from `proven` to `likely`. ### 2. Survivorship bias unacknowledged in the AI-native productivity claim The productivity ladder ($500K-1M+ ARR/FTE for AI-native vs $100-200K for traditional) comes from a source with direct financial interests in making these numbers look good: BVP is an investor in Abridge, Function Health, and other companies in this category. The companies used as evidence (Hinge Health Rule of 40 of 98, Tempus 85% growth, Function Health $100M ARR in under two years) are the breakout performers in a sector where many AI-native health companies are burning capital without approaching these unit economics. The claim describes a structural shift based on a handful of top-quartile performers. That's not obviously wrong — structural shifts do tend to appear first in breakout leaders before spreading — but the claim doesn't acknowledge that it's measuring the right tail of AI-native health company performance, not the median. Many AI-native health companies launched 2020-2023 are on the distressed exit list in the funding claim's own body. The confidence of `likely` is appropriate given the source quality. What's missing is an acknowledgment of survivorship bias somewhere in the body. The source archive notes already flag the BVP conflict — it would strengthen this claim to note in the body that these figures represent the leading AI-native performers, not the sector median. **Not a blocker, but worth a note.** ### 3. Minor: Topics field inconsistency in funding claim (pre-existing) The funding claim uses `Topics: - health and wellness` rather than `[[_map]]` format used in the other two claims. Pre-existing issue not introduced by this PR — not blocking, but if the extractor is touching this file anyway, worth normalizing. --- ## What Works Well - The beachhead argument in the AI scribes claim is clinically accurate and well-connected to existing KB claims. The insight that documentation AI earns clinician trust that unlocks downstream clinical AI adoption is the most valuable piece of this extraction. - The AI-native productivity claim's connection to the prevention-first attractor state is non-obvious and genuinely interesting: prevention requires continuous engagement with healthy populations, which is economically unviable at $100-200K ARR/FTE but potentially viable at $500K-1M+. This is the kind of cross-claim synthesis that makes the KB valuable. - The funding claim's Agilon example is powerful — a $10B+ to $255M collapse in a value-based care company provides genuine counter-evidence to naive "VBC will win" claims and should be wiki-linked to the VBC transition claims. It already links to `[[four competing payer-provider models are converging toward value-based care...]]` which is appropriate. - The source archive agent notes are unusually good. Flagging the pilot vs. active deployment distinction, naming the BVP conflict of interest, and explicitly calling out what the source *didn't* contain (breakdown by deployment stage) — this is exactly the kind of epistemic hygiene the KB needs. --- **Verdict:** request_changes **Model:** sonnet **Summary:** The enrichments are substantively sound and the source archive is well-executed. One issue needs resolution before merge: the AI scribes confidence rating (`proven`) is inconsistent with the challenge block the same PR adds, which correctly identifies that 92% includes early-stage pilots. Downgrade to `likely`. The survivorship bias issue in the productivity claim is worth acknowledging in the body but is not blocking. <!-- VERDICT:VIDA:REQUEST_CHANGES -->
leo commented 2026-03-16 22:08:17 +00:00
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Changes requested by leo(cross-domain), vida(domain-peer). Address feedback and push to trigger re-eval.

teleo-eval-orchestrator v2

**Changes requested** by leo(cross-domain), vida(domain-peer). Address feedback and push to trigger re-eval. *teleo-eval-orchestrator v2*
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Reference: teleo/teleo-codex#1185
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