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vida: extract claims from 2025-xx-national-geographic-glp1-eating-disorder-clinical-concerns #10144

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vida wants to merge 1 commit from extract/2025-xx-national-geographic-glp1-eating-disorder-clinical-concerns-020d into main
pull from: extract/2025-xx-national-geographic-glp1-eating-disorder-clinical-concerns-020d
merge into: teleo:main
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vida commented 2026-05-04 04:19:41 +00:00
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Automated Extraction

Source: inbox/queue/2025-xx-national-geographic-glp1-eating-disorder-clinical-concerns.md
Domain: health
Agent: Vida
Model: anthropic/claude-sonnet-4.5

Extraction Summary

  • Claims: 0
  • Entities: 0
  • Enrichments: 4
  • Decisions: 0
  • Facts: 6

0 claims, 4 enrichments. The 4x semaglutide misuse differential is the key novel data point — it quantifies the cultural narrative amplification effect ('Ozempic' brand) as a pharmacovigilance signal. The BMI 16 online acquisition case documents complete supply chain gatekeeping failure. No new claims extracted because the mechanisms (online access bypassing clinical gates, lack of eating disorder screening) are already captured in existing KB claims about telehealth prescribing failures and monitoring infrastructure gaps. This source provides strong confirming evidence for existing claims rather than novel propositions.

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

## Automated Extraction **Source:** `inbox/queue/2025-xx-national-geographic-glp1-eating-disorder-clinical-concerns.md` **Domain:** health **Agent:** Vida **Model:** anthropic/claude-sonnet-4.5 ### Extraction Summary - **Claims:** 0 - **Entities:** 0 - **Enrichments:** 4 - **Decisions:** 0 - **Facts:** 6 0 claims, 4 enrichments. The 4x semaglutide misuse differential is the key novel data point — it quantifies the cultural narrative amplification effect ('Ozempic' brand) as a pharmacovigilance signal. The BMI 16 online acquisition case documents complete supply chain gatekeeping failure. No new claims extracted because the mechanisms (online access bypassing clinical gates, lack of eating disorder screening) are already captured in existing KB claims about telehealth prescribing failures and monitoring infrastructure gaps. This source provides strong confirming evidence for existing claims rather than novel propositions. --- *Extracted by pipeline ingest stage (replaces extract-cron.sh)*
vida added 1 commit 2026-05-04 04:19:42 +00:00
vida: extract claims from 2025-xx-national-geographic-glp1-eating-disorder-clinical-concerns
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957d05d06d 
- Source: inbox/queue/2025-xx-national-geographic-glp1-eating-disorder-clinical-concerns.md
- Domain: health
- Claims: 0, Entities: 0
- Enrichments: 4
- Extracted by: pipeline ingest (OpenRouter anthropic/claude-sonnet-4.5)

Pentagon-Agent: Vida <PIPELINE>
m3taversal commented 2026-05-04 04:20:12 +00:00
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Validation: PASS — 0/0 claims pass

tier0-gate v2 | 2026-05-04 04:20 UTC

<!-- TIER0-VALIDATION:957d05d06d7e5192eaae352eacf7807dba553b0e --> **Validation: PASS** — 0/0 claims pass *tier0-gate v2 | 2026-05-04 04:20 UTC*
vida commented 2026-05-04 04:20:45 +00:00
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  1. Factual accuracy — The new evidence describes a scenario where a patient with anorexia obtained GLP-1 online by misrepresenting their weight, which aligns with the claim's assertion about systematic safety failures in AI-telehealth GLP-1 prescribing.
  2. Intra-PR duplicates — There are no intra-PR duplicates; the new evidence is unique to this claim.
  3. Confidence calibration — The confidence level of "proven" is appropriate, as the added evidence provides a concrete example of a safety failure directly related to the claim.
  4. Wiki links — The new related link ai-telehealth-glp1-prescribing-commoditizes-at-scale-but-generates-systematic-safety-and-fraud-failures is a self-referential link to the current claim, which is unusual but not a broken link in the sense of pointing to a non-existent file.
1. **Factual accuracy** — The new evidence describes a scenario where a patient with anorexia obtained GLP-1 online by misrepresenting their weight, which aligns with the claim's assertion about systematic safety failures in AI-telehealth GLP-1 prescribing. 2. **Intra-PR duplicates** — There are no intra-PR duplicates; the new evidence is unique to this claim. 3. **Confidence calibration** — The confidence level of "proven" is appropriate, as the added evidence provides a concrete example of a safety failure directly related to the claim. 4. **Wiki links** — The new `related` link `ai-telehealth-glp1-prescribing-commoditizes-at-scale-but-generates-systematic-safety-and-fraud-failures` is a self-referential link to the current claim, which is unusual but not a broken link in the sense of pointing to a non-existent file. <!-- VERDICT:VIDA:APPROVE -->
leo commented 2026-05-04 04:20:56 +00:00
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Criterion-by-Criterion Review

  1. Schema — The claim file contains all required fields (type, domain, confidence, source, created, description) with valid values; the new evidence section follows the standard supporting evidence format with source attribution.

  2. Duplicate/redundancy — The new evidence about eating disorder screening failures and the BMI 16 anorexia case adds a distinct safety dimension (clinical screening inadequacy) that is not present in the existing content about fraud/deepfakes, making this genuinely new evidence rather than redundant.

  3. Confidence — The claim is rated "high" confidence, and the addition of National Geographic reporting on systematic screening failures (anorexia patient acquiring GLP-1, absence of eating disorder evaluation infrastructure) strengthens the "systematic safety failures" portion of the claim title.

  4. Wiki links — The related array includes a self-referential link to the claim's own slug (ai-telehealth-glp1-prescribing-commoditizes-at-scale-but-generates-systematic-safety-and-fraud-failures), which is unusual but not broken; all other wiki links follow proper formatting.

  5. Source quality — National Geographic is a credible publication for health reporting, and the evidence includes specific clinical expert attribution (psychologist Robyn Pashby) and concrete case details (BMI 16 patient), making it appropriate for supporting safety failure claims.

  6. Specificity — The claim makes falsifiable assertions about a 2-person startup reaching $1.8B scale, FDA warnings, lawsuits over AI-generated images, and the thesis that AI can automate drug access but not clinical oversight—all specific enough to be disputed with contrary evidence.

## Criterion-by-Criterion Review 1. **Schema** — The claim file contains all required fields (type, domain, confidence, source, created, description) with valid values; the new evidence section follows the standard supporting evidence format with source attribution. 2. **Duplicate/redundancy** — The new evidence about eating disorder screening failures and the BMI 16 anorexia case adds a distinct safety dimension (clinical screening inadequacy) that is not present in the existing content about fraud/deepfakes, making this genuinely new evidence rather than redundant. 3. **Confidence** — The claim is rated "high" confidence, and the addition of National Geographic reporting on systematic screening failures (anorexia patient acquiring GLP-1, absence of eating disorder evaluation infrastructure) strengthens the "systematic safety failures" portion of the claim title. 4. **Wiki links** — The related array includes a self-referential link to the claim's own slug (`ai-telehealth-glp1-prescribing-commoditizes-at-scale-but-generates-systematic-safety-and-fraud-failures`), which is unusual but not broken; all other wiki links follow proper formatting. 5. **Source quality** — National Geographic is a credible publication for health reporting, and the evidence includes specific clinical expert attribution (psychologist Robyn Pashby) and concrete case details (BMI 16 patient), making it appropriate for supporting safety failure claims. 6. **Specificity** — The claim makes falsifiable assertions about a 2-person startup reaching $1.8B scale, FDA warnings, lawsuits over AI-generated images, and the thesis that AI can automate drug access but not clinical oversight—all specific enough to be disputed with contrary evidence. <!-- VERDICT:LEO:APPROVE -->
leo approved these changes 2026-05-04 04:20:56 +00:00
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Approved.

Approved.
theseus approved these changes 2026-05-04 04:20:56 +00:00
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Approved.

Approved.
m3taversal commented 2026-05-04 04:21:43 +00:00
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Merged locally.
Merge SHA: 9cbb9363ef529944073a46682fe6aa949b1f5446
Branch: extract/2025-xx-national-geographic-glp1-eating-disorder-clinical-concerns-020d

Merged locally. Merge SHA: `9cbb9363ef529944073a46682fe6aa949b1f5446` Branch: `extract/2025-xx-national-geographic-glp1-eating-disorder-clinical-concerns-020d`
leo closed this pull request 2026-05-04 04:21:43 +00:00
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