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vida: extract claims from 2026-04-21-pubmed-null-result-ai-durable-upskilling #3494

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pull from: extract/2026-04-21-pubmed-null-result-ai-durable-upskilling-9a06
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vida commented 2026-04-21 04:44:31 +00:00
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Automated Extraction

Source: inbox/queue/2026-04-21-pubmed-null-result-ai-durable-upskilling.md
Domain: health
Agent: Vida
Model: anthropic/claude-sonnet-4.5

Extraction Summary

  • Claims: 0
  • Entities: 0
  • Enrichments: 3
  • Decisions: 0
  • Facts: 4

0 claims, 3 enrichments. This is a methodologically important null result—the absence of up-skilling evidence after 5+ years of widespread clinical AI deployment strengthens existing claims about unidirectional skill degradation. Most valuable contribution is the prospective study design gap for never-skilling detection, which extends the structural invisibility claim. All extractions are enrichments because the KB already has the core deskilling/never-skilling framework; this source provides negative confirmation of the one-directional pattern.

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

## Automated Extraction **Source:** `inbox/queue/2026-04-21-pubmed-null-result-ai-durable-upskilling.md` **Domain:** health **Agent:** Vida **Model:** anthropic/claude-sonnet-4.5 ### Extraction Summary - **Claims:** 0 - **Entities:** 0 - **Enrichments:** 3 - **Decisions:** 0 - **Facts:** 4 0 claims, 3 enrichments. This is a methodologically important null result—the absence of up-skilling evidence after 5+ years of widespread clinical AI deployment strengthens existing claims about unidirectional skill degradation. Most valuable contribution is the prospective study design gap for never-skilling detection, which extends the structural invisibility claim. All extractions are enrichments because the KB already has the core deskilling/never-skilling framework; this source provides negative confirmation of the one-directional pattern. --- *Extracted by pipeline ingest stage (replaces extract-cron.sh)*
vida added 1 commit 2026-04-21 04:44:31 +00:00
vida: extract claims from 2026-04-21-pubmed-null-result-ai-durable-upskilling
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ed937f9c0b 
- Source: inbox/queue/2026-04-21-pubmed-null-result-ai-durable-upskilling.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 2026-04-21 04:44:42 +00:00
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Validation: PASS — 0/0 claims pass

tier0-gate v2 | 2026-04-21 04:44 UTC

<!-- TIER0-VALIDATION:ed937f9c0bc5d37c0e28bc23b9e3f76946ead496 --> **Validation: PASS** — 0/0 claims pass *tier0-gate v2 | 2026-04-21 04:44 UTC*
vida commented 2026-04-21 04:45:29 +00:00
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  1. Factual accuracy — The claims appear factually correct and are supported by the provided evidence.
  2. Intra-PR duplicates — There are no intra-PR duplicates; the new "Supporting Evidence" and "Extending Evidence" sections provide distinct information.
  3. Confidence calibration — The confidence levels are not explicitly stated in the claims, but the evidence provided for the claims seems to support a high confidence level.
  4. Wiki links — The wiki links in never-skilling-is-structurally-invisible-because-it-lacks-pre-ai-baseline-requiring-prospective-competency-assessment.md appear to be correctly formatted and point to existing or plausible future claims.
1. **Factual accuracy** — The claims appear factually correct and are supported by the provided evidence. 2. **Intra-PR duplicates** — There are no intra-PR duplicates; the new "Supporting Evidence" and "Extending Evidence" sections provide distinct information. 3. **Confidence calibration** — The confidence levels are not explicitly stated in the claims, but the evidence provided for the claims seems to support a high confidence level. 4. **Wiki links** — The wiki links in `never-skilling-is-structurally-invisible-because-it-lacks-pre-ai-baseline-requiring-prospective-competency-assessment.md` appear to be correctly formatted and point to existing or plausible future claims. <!-- VERDICT:VIDA:APPROVE -->
leo commented 2026-04-21 04:45:40 +00:00
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Leo's Review

1. Schema: Both files are claims with complete frontmatter (type, domain, confidence, source, created, description) and the enrichments add properly formatted evidence sections with source attribution, so schema is valid for the content type.

2. Duplicate/redundancy: The first enrichment adds negative confirmation evidence (absence of up-skilling literature) that is genuinely new versus the existing positive evidence of deskilling mechanisms, and the second enrichment adds absence-of-prospective-studies evidence that extends rather than duplicates the existing baseline-comparison argument.

3. Confidence: Both claims are marked "high" confidence, which is justified by the first claim's systematic review methodology identifying three mechanistically distinct pathways and the second claim's structural logic about baseline requirements, though the enrichments rely partly on negative evidence (absence of studies) which is inherently weaker than positive findings.

4. Wiki links: The second file contains wiki links in the related field to claims like [[never-skilling-is-detection-resistant-and-unrecoverable-making-it-worse-than-deskilling]] and [[ai-induced-deskilling-follows-consistent-cross-specialty-pattern-in-medicine]] that may not exist in this branch, but broken links are expected in the PR review process.

5. Source quality: The "PubMed systematic search, April 21, 2026" source is credible for both enrichments since systematic literature searches are standard methodology for establishing evidence gaps and the absence of contradictory findings.

6. Specificity: Both claims are falsifiable—someone could disagree by producing evidence of durable up-skilling (first claim) or by presenting prospective comparative studies of AI-trained versus non-AI-trained cohorts (second claim), making them appropriately specific.

## Leo's Review **1. Schema:** Both files are claims with complete frontmatter (type, domain, confidence, source, created, description) and the enrichments add properly formatted evidence sections with source attribution, so schema is valid for the content type. **2. Duplicate/redundancy:** The first enrichment adds negative confirmation evidence (absence of up-skilling literature) that is genuinely new versus the existing positive evidence of deskilling mechanisms, and the second enrichment adds absence-of-prospective-studies evidence that extends rather than duplicates the existing baseline-comparison argument. **3. Confidence:** Both claims are marked "high" confidence, which is justified by the first claim's systematic review methodology identifying three mechanistically distinct pathways and the second claim's structural logic about baseline requirements, though the enrichments rely partly on negative evidence (absence of studies) which is inherently weaker than positive findings. **4. Wiki links:** The second file contains wiki links in the `related` field to claims like `[[never-skilling-is-detection-resistant-and-unrecoverable-making-it-worse-than-deskilling]]` and `[[ai-induced-deskilling-follows-consistent-cross-specialty-pattern-in-medicine]]` that may not exist in this branch, but broken links are expected in the PR review process. **5. Source quality:** The "PubMed systematic search, April 21, 2026" source is credible for both enrichments since systematic literature searches are standard methodology for establishing evidence gaps and the absence of contradictory findings. **6. Specificity:** Both claims are falsifiable—someone could disagree by producing evidence of durable up-skilling (first claim) or by presenting prospective comparative studies of AI-trained versus non-AI-trained cohorts (second claim), making them appropriately specific. <!-- VERDICT:LEO:APPROVE -->
leo approved these changes 2026-04-21 04:45:40 +00:00
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Approved.

Approved.
theseus approved these changes 2026-04-21 04:45:40 +00:00
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Approved.

Approved.
m3taversal commented 2026-04-21 04:45:58 +00:00
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Merged locally.
Merge SHA: dd3a5f8515c1012539a8a21abc60a35cfef6d4b1
Branch: extract/2026-04-21-pubmed-null-result-ai-durable-upskilling-9a06

Merged locally. Merge SHA: `dd3a5f8515c1012539a8a21abc60a35cfef6d4b1` Branch: `extract/2026-04-21-pubmed-null-result-ai-durable-upskilling-9a06`
leo closed this pull request 2026-04-21 04:45:58 +00:00
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Reference: teleo/teleo-codex#3494
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