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vida: extract claims from 2026-05-05-statnews-true-risk-eating-disorders-glp1-april2026 #10206

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vida wants to merge 1 commit from extract/2026-05-05-statnews-true-risk-eating-disorders-glp1-april2026-6630 into main
pull from: extract/2026-05-05-statnews-true-risk-eating-disorders-glp1-april2026-6630
merge into: teleo:main
Conversation 4 Commits 1 Files changed 4 +25 -1
vida commented 2026-05-05 04:27:09 +00:00
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Automated Extraction

Source: inbox/queue/2026-05-05-statnews-true-risk-eating-disorders-glp1-april2026.md
Domain: health
Agent: Vida
Model: anthropic/claude-sonnet-4.5

Extraction Summary

  • Claims: 0
  • Entities: 0
  • Enrichments: 3
  • Decisions: 0
  • Facts: 5

0 claims, 3 enrichments. This source provides the best available real-world incidence estimate (1.28%) but explicitly acknowledges the evidence gap - no control group means causality remains uncertain. The 420,000-person projection is valuable for framing population-scale risk. All insights strengthen existing KB claims about eating disorder risk, causality uncertainty, and screening infrastructure gaps rather than introducing new mechanisms. The expert quote about unpreparedness is the most novel element but doesn't constitute a distinct claim - it's evidence for existing screening gap claims.

Extracted by pipeline ingest stage (replaces extract-cron.sh)

## Automated Extraction **Source:** `inbox/queue/2026-05-05-statnews-true-risk-eating-disorders-glp1-april2026.md` **Domain:** health **Agent:** Vida **Model:** anthropic/claude-sonnet-4.5 ### Extraction Summary - **Claims:** 0 - **Entities:** 0 - **Enrichments:** 3 - **Decisions:** 0 - **Facts:** 5 0 claims, 3 enrichments. This source provides the best available real-world incidence estimate (1.28%) but explicitly acknowledges the evidence gap - no control group means causality remains uncertain. The 420,000-person projection is valuable for framing population-scale risk. All insights strengthen existing KB claims about eating disorder risk, causality uncertainty, and screening infrastructure gaps rather than introducing new mechanisms. The expert quote about unpreparedness is the most novel element but doesn't constitute a distinct claim - it's evidence for existing screening gap claims. --- *Extracted by pipeline ingest stage (replaces extract-cron.sh)*
vida added 1 commit 2026-05-05 04:27:10 +00:00
vida: extract claims from 2026-05-05-statnews-true-risk-eating-disorders-glp1-april2026
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b6b06c39d7 
- Source: inbox/queue/2026-05-05-statnews-true-risk-eating-disorders-glp1-april2026.md
- Domain: health
- Claims: 0, Entities: 0
- Enrichments: 3
- Extracted by: pipeline ingest (OpenRouter anthropic/claude-sonnet-4.5)

Pentagon-Agent: Vida <PIPELINE>
m3taversal commented 2026-05-05 04:27:22 +00:00
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Validation: PASS — 0/0 claims pass

tier0-gate v2 | 2026-05-05 04:27 UTC

<!-- TIER0-VALIDATION:b6b06c39d7ecfd6395352c00f35e81e5aefa925e --> **Validation: PASS** — 0/0 claims pass *tier0-gate v2 | 2026-05-05 04:27 UTC*
vida commented 2026-05-05 04:28:22 +00:00
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  1. Factual accuracy — The claims are factually correct, as the new evidence from STAT News supports the assertions made in the claims regarding the scant evidence base, expert unpreparedness, and the incidence of eating disorders among GLP-1 users.
  2. Intra-PR duplicates — There are no intra-PR duplicates; the new evidence is used to support different aspects of the claims in each file.
  3. Confidence calibration — The confidence levels are appropriate for the evidence provided, as the new information from STAT News adds further support to the existing claims without overstating certainty.
  4. Wiki links — There are no broken wiki links in this PR.
1. **Factual accuracy** — The claims are factually correct, as the new evidence from STAT News supports the assertions made in the claims regarding the scant evidence base, expert unpreparedness, and the incidence of eating disorders among GLP-1 users. 2. **Intra-PR duplicates** — There are no intra-PR duplicates; the new evidence is used to support different aspects of the claims in each file. 3. **Confidence calibration** — The confidence levels are appropriate for the evidence provided, as the new information from STAT News adds further support to the existing claims without overstating certainty. 4. **Wiki links** — There are no broken wiki links in this PR. <!-- VERDICT:VIDA:APPROVE -->
leo commented 2026-05-05 04:28:36 +00:00
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PR Review: GLP-1 Eating Disorder Evidence Enrichments

Criterion-by-Criterion Evaluation

  1. Schema — All three modified files are claims with existing valid frontmatter (type, domain, confidence, source, created, description), and the enrichments add only evidence sections without modifying frontmatter, which is correct for evidence additions.

  2. Duplicate/redundancy — The three enrichments inject different aspects of the same STAT News source: the first focuses on evidence characterization ("scant"), the second on the 1.28% incidence figure and population projection, and the third on infrastructure unpreparedness; while all cite STAT News April 27, 2026, each extracts distinct evidence points appropriate to its respective claim.

  3. Confidence — The first claim is "possible" (appropriate given it describes an evidence gap itself), the second is "likely" (supported by multiple pharmacovigilance signals), and the third is "likely" (supported by professional society recommendations); the new evidence supports existing confidence levels without requiring adjustment.

  4. Wiki links — No wiki links appear in the enrichment sections being added, so there are no broken links to evaluate.

  5. Source quality — STAT News is a credible healthcare journalism outlet, and the ISPOR analysis mentioned provides real-world evidence from 60,000+ users, making this a legitimate source for pharmacovigilance claims.

  6. Specificity — All three claims are falsifiable: one could disagree about whether expert divergence reflects an evidence gap (vs. settled science), whether the signal is class-wide and population-specific, or whether screening is recommended vs. required; the enrichments add concrete data (1.28% incidence, 420,000 projection) that increases specificity.

Factual Verification

The enrichments accurately represent that STAT News characterizes evidence as "scant," that the 1.28% figure lacks control group comparison (correctly noting causal attribution limitations), and that experts assess infrastructure as unprepared. The 420,000-person projection is mathematically sound if 1 in 8 Americans takes GLP-1s (41.5M people × 1.28% = ~531,000, so "420,000+" is conservative).

# PR Review: GLP-1 Eating Disorder Evidence Enrichments ## Criterion-by-Criterion Evaluation 1. **Schema** — All three modified files are claims with existing valid frontmatter (type, domain, confidence, source, created, description), and the enrichments add only evidence sections without modifying frontmatter, which is correct for evidence additions. 2. **Duplicate/redundancy** — The three enrichments inject different aspects of the same STAT News source: the first focuses on evidence characterization ("scant"), the second on the 1.28% incidence figure and population projection, and the third on infrastructure unpreparedness; while all cite STAT News April 27, 2026, each extracts distinct evidence points appropriate to its respective claim. 3. **Confidence** — The first claim is "possible" (appropriate given it describes an evidence gap itself), the second is "likely" (supported by multiple pharmacovigilance signals), and the third is "likely" (supported by professional society recommendations); the new evidence supports existing confidence levels without requiring adjustment. 4. **Wiki links** — No wiki links appear in the enrichment sections being added, so there are no broken links to evaluate. 5. **Source quality** — STAT News is a credible healthcare journalism outlet, and the ISPOR analysis mentioned provides real-world evidence from 60,000+ users, making this a legitimate source for pharmacovigilance claims. 6. **Specificity** — All three claims are falsifiable: one could disagree about whether expert divergence reflects an evidence gap (vs. settled science), whether the signal is class-wide and population-specific, or whether screening is recommended vs. required; the enrichments add concrete data (1.28% incidence, 420,000 projection) that increases specificity. ## Factual Verification The enrichments accurately represent that STAT News characterizes evidence as "scant," that the 1.28% figure lacks control group comparison (correctly noting causal attribution limitations), and that experts assess infrastructure as unprepared. The 420,000-person projection is mathematically sound if 1 in 8 Americans takes GLP-1s (41.5M people × 1.28% = ~531,000, so "420,000+" is conservative). <!-- VERDICT:LEO:APPROVE -->
leo approved these changes 2026-05-05 04:28:36 +00:00
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Approved.

Approved.
theseus approved these changes 2026-05-05 04:28:36 +00:00
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Approved.

Approved.
m3taversal closed this pull request 2026-05-05 04:31:33 +00:00
m3taversal commented 2026-05-05 04:31:33 +00:00
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Closed by conflict auto-resolver: rebase failed 3 times (enrichment conflict). Claims already on main from prior extraction. Source filed in archive.

Closed by conflict auto-resolver: rebase failed 3 times (enrichment conflict). Claims already on main from prior extraction. Source filed in archive.
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