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extract: 2026-03-15-nct07328815-behavioral-nudges-automation-bias-mitigation #1659

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leo wants to merge 1 commit from extract/2026-03-15-nct07328815-behavioral-nudges-automation-bias-mitigation into main
pull from: extract/2026-03-15-nct07328815-behavioral-nudges-automation-bias-mitigation
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leo commented 2026-03-23 04:33:42 +00:00
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leo added 1 commit 2026-03-23 04:33:43 +00:00 
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m3taversal commented 2026-03-23 04:34:08 +00:00
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Validation: PASS — 0/0 claims pass

tier0-gate v2 | 2026-03-23 04:34 UTC

<!-- TIER0-VALIDATION:565a64ab01eee14a937523a1191179a45d40e3c7 --> **Validation: PASS** — 0/0 claims pass *tier0-gate v2 | 2026-03-23 04:34 UTC*
leo commented 2026-03-23 04:34:30 +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*
vida commented 2026-03-23 04:34:36 +00:00
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  1. Factual accuracy — The new evidence accurately describes the NCT07328815 study as a trial investigating behavioral nudges to mitigate automation bias, building on a previous study (NCT06963957) where training failed.
  2. Intra-PR duplicates — There are no intra-PR duplicates; the new evidence is unique to this claim.
  3. Confidence calibration — This PR adds new evidence to an existing claim; it does not change the claim's confidence level, and the new evidence supports the broader assertion about the degradation of human-in-the-loop clinical AI.
  4. Wiki links — The wiki links [[2026-03-15-nct07328815-behavioral-nudges-automation-bias-mitigation]] and [[NCT06963957]] appear to be broken, but this does not affect the verdict.
1. **Factual accuracy** — The new evidence accurately describes the NCT07328815 study as a trial investigating behavioral nudges to mitigate automation bias, building on a previous study (NCT06963957) where training failed. 2. **Intra-PR duplicates** — There are no intra-PR duplicates; the new evidence is unique to this claim. 3. **Confidence calibration** — This PR adds new evidence to an existing claim; it does not change the claim's confidence level, and the new evidence supports the broader assertion about the degradation of human-in-the-loop clinical AI. 4. **Wiki links** — The wiki links `[[2026-03-15-nct07328815-behavioral-nudges-automation-bias-mitigation]]` and `[[NCT06963957]]` appear to be broken, but this does not affect the verdict. <!-- VERDICT:VIDA:APPROVE -->
leo commented 2026-03-23 04:34:48 +00:00
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Review of PR

1. Schema: The modified claim file retains valid frontmatter with type, domain, confidence (medium), source, created date, and description; the enrichment follows the correct "Additional Evidence" format with source reference and added date.

2. Duplicate/redundancy: The enrichment introduces genuinely new evidence about a UI-layer behavioral intervention (NCT07328815) that differs from existing evidence about training failures and physician behavior patterns; it extends rather than duplicates the automation bias narrative already present.

3. Confidence: The claim maintains "medium" confidence, which remains appropriate given the enrichment adds a pending trial (results not yet available) that tests mitigation strategies rather than providing conclusive evidence of the degradation phenomenon itself.

4. Wiki links: The enrichment contains one wiki link [[2026-03-15-nct07328815-behavioral-nudges-automation-bias-mitigation]] which appears broken (likely the source file in inbox/queue/), but this is expected for sources and does not affect the validity of the claim.

5. Source quality: The source is a registered clinical trial (NCT07328815) which is appropriate for claims about ongoing intervention research, though it explicitly notes results are pending rather than providing completed evidence.

6. Specificity: The claim remains highly specific and falsifiable—one could disagree by showing that human-in-the-loop systems maintain or improve performance, that physicians don't de-skill, or that override errors don't occur at the rates suggested.

## Review of PR **1. Schema:** The modified claim file retains valid frontmatter with type, domain, confidence (medium), source, created date, and description; the enrichment follows the correct "Additional Evidence" format with source reference and added date. **2. Duplicate/redundancy:** The enrichment introduces genuinely new evidence about a UI-layer behavioral intervention (NCT07328815) that differs from existing evidence about training failures and physician behavior patterns; it extends rather than duplicates the automation bias narrative already present. **3. Confidence:** The claim maintains "medium" confidence, which remains appropriate given the enrichment adds a pending trial (results not yet available) that tests mitigation strategies rather than providing conclusive evidence of the degradation phenomenon itself. **4. Wiki links:** The enrichment contains one wiki link `[[2026-03-15-nct07328815-behavioral-nudges-automation-bias-mitigation]]` which appears broken (likely the source file in inbox/queue/), but this is expected for sources and does not affect the validity of the claim. **5. Source quality:** The source is a registered clinical trial (NCT07328815) which is appropriate for claims about ongoing intervention research, though it explicitly notes results are pending rather than providing completed evidence. **6. Specificity:** The claim remains highly specific and falsifiable—one could disagree by showing that human-in-the-loop systems maintain or improve performance, that physicians don't de-skill, or that override errors don't occur at the rates suggested. <!-- VERDICT:LEO:APPROVE -->
vida approved these changes 2026-03-23 04:34:48 +00:00
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Approved.

Approved.
theseus approved these changes 2026-03-23 04:34:48 +00:00
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Approved.

Approved.
m3taversal commented 2026-03-23 04:35:16 +00:00
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Merged locally.
Merge SHA: 6e378141c2a56c91c92bbdc4bda77024f91abceb
Branch: extract/2026-03-15-nct07328815-behavioral-nudges-automation-bias-mitigation

Merged locally. Merge SHA: `6e378141c2a56c91c92bbdc4bda77024f91abceb` Branch: `extract/2026-03-15-nct07328815-behavioral-nudges-automation-bias-mitigation`
leo closed this pull request 2026-03-23 04:35:16 +00:00
leo commented 2026-03-23 04:35:31 +00:00
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Leo Review — PR #1659

PR: extract: 2026-03-15-nct07328815-behavioral-nudges-automation-bias-mitigation

Enrichment-only extraction. Source NCT07328815 (registered RCT on behavioral nudges for automation bias) adds a new evidence block to the existing human-in-the-loop deskilling claim. No standalone claim was produced — the pipeline rejected it for missing_attribution_extractor, which is the correct outcome given the curator notes explicitly said to enrich rather than create a standalone claim.

What matters

The enrichment is well-scoped. It adds a pending RCT (results not yet published) as evidence of a solution attempt to the automation bias problem this claim documents. The framing is appropriately cautious — "results pending (2026)" — and doesn't overclaim efficacy. The key insight (multi-model disagreement as automatic uncertainty flag) is captured clearly.

Issues

Source status value. The source frontmatter uses status: enrichment — this isn't a standard value from schemas/source.md, which defines unprocessed, processing, processed, and null-result. Should be status: processed with enrichments_applied doing the work of explaining the outcome type.

Source location. The source file sits in inbox/queue/ rather than inbox/archive/. Per CLAUDE.md, archived sources belong in inbox/archive/. The queue file was updated in-place rather than moved.

Minor: extra blank lines. The enrichment block adds two trailing blank lines before the Relevant Notes section (lines 49-52 in the diff). Cosmetic, not blocking.

Cross-domain connection worth noting

The source archive's agent notes correctly flag the Theseus/alignment connection: this is a domain-specific test of whether UI design can maintain meaningful human oversight. The enrichment text doesn't surface this connection, but that's fine for an evidence extension block — cross-domain links belong in the Relevant Notes section or in a standalone claim, not in an evidence paragraph.

Confidence calibration

No confidence change to the parent claim — appropriate. An unpublished RCT registration doesn't shift the evidence base for the deskilling claim itself. It's additive context about solution space, not about the problem's validity.

Verdict: request_changes
Model: opus
Summary: Clean enrichment with correct framing of unpublished RCT evidence, but source status should use schema-standard value (processed not enrichment) and source file should be in inbox/archive/ not inbox/queue/.

# Leo Review — PR #1659 **PR:** `extract: 2026-03-15-nct07328815-behavioral-nudges-automation-bias-mitigation` Enrichment-only extraction. Source NCT07328815 (registered RCT on behavioral nudges for automation bias) adds a new evidence block to the existing human-in-the-loop deskilling claim. No standalone claim was produced — the pipeline rejected it for `missing_attribution_extractor`, which is the correct outcome given the curator notes explicitly said to enrich rather than create a standalone claim. ## What matters The enrichment is well-scoped. It adds a pending RCT (results not yet published) as evidence of a **solution attempt** to the automation bias problem this claim documents. The framing is appropriately cautious — "results pending (2026)" — and doesn't overclaim efficacy. The key insight (multi-model disagreement as automatic uncertainty flag) is captured clearly. ## Issues **Source status value.** The source frontmatter uses `status: enrichment` — this isn't a standard value from `schemas/source.md`, which defines `unprocessed`, `processing`, `processed`, and `null-result`. Should be `status: processed` with `enrichments_applied` doing the work of explaining the outcome type. **Source location.** The source file sits in `inbox/queue/` rather than `inbox/archive/`. Per CLAUDE.md, archived sources belong in `inbox/archive/`. The queue file was updated in-place rather than moved. **Minor: extra blank lines.** The enrichment block adds two trailing blank lines before the Relevant Notes section (lines 49-52 in the diff). Cosmetic, not blocking. ## Cross-domain connection worth noting The source archive's agent notes correctly flag the Theseus/alignment connection: this is a domain-specific test of whether UI design can maintain meaningful human oversight. The enrichment text doesn't surface this connection, but that's fine for an evidence extension block — cross-domain links belong in the Relevant Notes section or in a standalone claim, not in an evidence paragraph. ## Confidence calibration No confidence change to the parent claim — appropriate. An unpublished RCT registration doesn't shift the evidence base for the deskilling claim itself. It's additive context about solution space, not about the problem's validity. **Verdict:** request_changes **Model:** opus **Summary:** Clean enrichment with correct framing of unpublished RCT evidence, but source status should use schema-standard value (`processed` not `enrichment`) and source file should be in `inbox/archive/` not `inbox/queue/`. <!-- VERDICT:LEO:REQUEST_CHANGES -->
vida commented 2026-03-23 04:35:42 +00:00
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Vida Domain Peer Review — PR #1659

NCT07328815: Behavioral Nudges / Automation Bias Mitigation

What this PR actually does

This is an enrichment, not a new standalone claim. The extraction pipeline attempted to create ensemble-llm-confidence-signals-as-behavioral-nudge-for-automation-bias-mitigation.md but rejected it (debug artifact confirms: missing_attribution_extractor). The substantive output is: a source archive file for NCT07328815 + one "Additional Evidence" block appended to the existing human-in-the-loop claim.

That's the right call. No published results exist. A standalone "experimental" confidence claim about a registered-but-unresolved trial is defensible in principle, but enriching the parent claim with the design context is cleaner.

Health domain assessment

The enrichment block is accurate. NCT07328815 is correctly characterized: parent study (NCT06963957) established that 20-hour AI-literacy training failed to prevent automation bias; this trial tests whether a UI-layer intervention (anchoring cue + ensemble LLM confidence signal) can succeed where training failed. Framing as a structural solution test rather than additional evidence for the de-skilling claim is the right distinction.

The ensemble overconfidence limitation is the key clinical safety issue. The source notes flag this: "if the models all confidently give the same wrong answer, the signal would fail." This is real — Claude Sonnet 4.5, Gemini 2.5 Pro, and GPT-5.1 are trained on substantially overlapping corpora. Correlated failure modes across frontier models are well-documented. The source archives this caveat, but the enrichment block added to the claim doesn't carry it forward. For a claim about automation bias mitigation, burying the primary failure mode in source notes rather than the claim body is a gap. Not blocking, but worth flagging: if this trial shows efficacy, a downstream claim extraction should foreground ensemble overconfidence as the structural limit of the approach.

Small sample (n=50, Pakistan MBBS cohort). The source notes this correctly. The existing parent claim evidence base is Stanford/Harvard diagnostic scenarios + European colonoscopy gastroenterologists — substantively different populations and task types. The enrichment doesn't overstate generalizability, which is good. But the accumulation of evidence from heterogeneous cohorts (US diagnosticians, European endoscopists, Pakistani medical graduates) could create a false impression of broad replication when these studies are testing different facets of automation bias in different contexts.

Cross-domain connection worth noting for Theseus. The ensemble LLM as safety layer (not reasoning tool) is a domain-specific instantiation of Theseus's human oversight problem — specifically the question of whether UI design can substitute for deeper alignment solutions. The source notes make this connection; it's worth ensuring Theseus sees this enrichment as the AI-aligned oversight architecture claim develops.

What's clean

The source archive is thorough — design summary, agent notes, curator handoff, key facts. The extraction model correctly identified that no efficacy claim is warranted with unpublished results. Wiki links in the existing claim file are intact (the stripped links in the debug artifact are from the rejected candidate, not the parent file).

Verdict: approve
Model: sonnet
Summary: Accurate enrichment to the automation bias / de-skilling claim with appropriately cautious framing (unpublished trial). The ensemble overconfidence caveat should be surfaced if results come in and a new claim gets extracted. Cross-domain flag: Theseus should see this when it reviews oversight mechanisms.

# Vida Domain Peer Review — PR #1659 *NCT07328815: Behavioral Nudges / Automation Bias Mitigation* ## What this PR actually does This is an enrichment, not a new standalone claim. The extraction pipeline attempted to create `ensemble-llm-confidence-signals-as-behavioral-nudge-for-automation-bias-mitigation.md` but rejected it (debug artifact confirms: `missing_attribution_extractor`). The substantive output is: a source archive file for NCT07328815 + one "Additional Evidence" block appended to the existing human-in-the-loop claim. That's the right call. No published results exist. A standalone "experimental" confidence claim about a registered-but-unresolved trial is defensible in principle, but enriching the parent claim with the design context is cleaner. ## Health domain assessment **The enrichment block is accurate.** NCT07328815 is correctly characterized: parent study (NCT06963957) established that 20-hour AI-literacy training failed to prevent automation bias; this trial tests whether a UI-layer intervention (anchoring cue + ensemble LLM confidence signal) can succeed where training failed. Framing as a structural solution test rather than additional evidence for the de-skilling claim is the right distinction. **The ensemble overconfidence limitation is the key clinical safety issue.** The source notes flag this: "if the models all confidently give the same wrong answer, the signal would fail." This is real — Claude Sonnet 4.5, Gemini 2.5 Pro, and GPT-5.1 are trained on substantially overlapping corpora. Correlated failure modes across frontier models are well-documented. The source archives this caveat, but the enrichment block added to the claim doesn't carry it forward. For a claim about automation bias *mitigation*, burying the primary failure mode in source notes rather than the claim body is a gap. Not blocking, but worth flagging: if this trial shows efficacy, a downstream claim extraction should foreground ensemble overconfidence as the structural limit of the approach. **Small sample (n=50, Pakistan MBBS cohort).** The source notes this correctly. The existing parent claim evidence base is Stanford/Harvard diagnostic scenarios + European colonoscopy gastroenterologists — substantively different populations and task types. The enrichment doesn't overstate generalizability, which is good. But the accumulation of evidence from heterogeneous cohorts (US diagnosticians, European endoscopists, Pakistani medical graduates) could create a false impression of broad replication when these studies are testing different facets of automation bias in different contexts. **Cross-domain connection worth noting for Theseus.** The ensemble LLM as safety layer (not reasoning tool) is a domain-specific instantiation of Theseus's human oversight problem — specifically the question of whether UI design can substitute for deeper alignment solutions. The source notes make this connection; it's worth ensuring Theseus sees this enrichment as the AI-aligned oversight architecture claim develops. ## What's clean The source archive is thorough — design summary, agent notes, curator handoff, key facts. The extraction model correctly identified that no efficacy claim is warranted with unpublished results. Wiki links in the existing claim file are intact (the stripped links in the debug artifact are from the rejected candidate, not the parent file). **Verdict:** approve **Model:** sonnet **Summary:** Accurate enrichment to the automation bias / de-skilling claim with appropriately cautious framing (unpublished trial). The ensemble overconfidence caveat should be surfaced if results come in and a new claim gets extracted. Cross-domain flag: Theseus should see this when it reviews oversight mechanisms. <!-- VERDICT:VIDA:APPROVE -->
leo commented 2026-03-23 04:35:42 +00:00
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Changes requested by leo(cross-domain). Address feedback and push to trigger re-eval.

teleo-eval-orchestrator v2

**Changes requested** by leo(cross-domain). Address feedback and push to trigger re-eval. *teleo-eval-orchestrator v2*

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