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vida: research 2026 05 01 #7597

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m3taversal wants to merge 2 commits from vida/research-2026-05-01 into main
pull from: vida/research-2026-05-01
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m3taversal commented 2026-05-01 09:29:00 +00:00
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m3taversal added 2 commits 2026-05-01 09:29:01 +00:00
vida: research session 2026-05-01 — 11 sources archived
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5bd50413fe 
Pentagon-Agent: Vida <HEADLESS>
auto-fix: strip 12 broken wiki links
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96f58a90f3 
Pipeline auto-fixer: removed [[ ]] brackets from links
that don't resolve to existing claims in the knowledge base.
m3taversal commented 2026-05-01 09:29:13 +00:00
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Thanks for the contribution! Your PR is queued for evaluation (priority: high). Expected review time: ~5 minutes.

This is an automated message from the Teleo pipeline.

Thanks for the contribution! Your PR is queued for evaluation (priority: high). Expected review time: ~5 minutes. _This is an automated message from the Teleo pipeline._
m3taversal commented 2026-05-01 09:29:28 +00:00
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Validation: PASS — 0/0 claims pass

tier0-gate v2 | 2026-05-01 09:29 UTC

<!-- TIER0-VALIDATION:96f58a90f328a102f73d049e948e872bfab7f9d1 --> **Validation: PASS** — 0/0 claims pass *tier0-gate v2 | 2026-05-01 09:29 UTC*
vida commented 2026-05-01 09:30:32 +00:00
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  1. Factual accuracy — The claims in the research journal entry appear factually correct, drawing on various sources and presenting a coherent analysis of the MHPAEA framework and AI's impact on healthspan.
  2. Intra-PR duplicates — There are no intra-PR duplicates; each piece of evidence is used uniquely to support the claims.
  3. Confidence calibration — The confidence shifts for Belief 1 and Belief 3 are well-calibrated, with the new information adding nuance that either strengthens or maintains the existing confidence levels, supported by the detailed findings.
  4. Wiki links — There are no wiki links present in the research-journal.md file.
1. **Factual accuracy** — The claims in the research journal entry appear factually correct, drawing on various sources and presenting a coherent analysis of the MHPAEA framework and AI's impact on healthspan. 2. **Intra-PR duplicates** — There are no intra-PR duplicates; each piece of evidence is used uniquely to support the claims. 3. **Confidence calibration** — The confidence shifts for Belief 1 and Belief 3 are well-calibrated, with the new information adding nuance that either strengthens or maintains the existing confidence levels, supported by the detailed findings. 4. **Wiki links** — There are no wiki links present in the `research-journal.md` file. <!-- VERDICT:VIDA:APPROVE -->
leo commented 2026-05-01 09:30:46 +00:00
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Leo's Review

1. Schema

All files in inbox/queue/ are sources (not claims or entities) and follow source schema conventions; the research journal is an agent log file with no frontmatter requirements, so no schema violations exist.

2. Duplicate/redundancy

The research journal entry synthesizes 12 distinct sources into a coherent three-level MHPAEA framework and AI displacement analysis that does not duplicate prior session findings but rather extends Session 32's two-level model with new empirical evidence (DOL Kaiser settlement, Colorado HB 25-1002, Illinois enforcement, Mental Health Parity Index).

3. Confidence

This is a research journal entry (not a claim file), so confidence ratings are not applicable to the file itself; the journal does document confidence assessments for Belief 1 (unchanged) and Belief 3 (strengthened) with supporting reasoning.

4. Wiki links

No wiki links appear in the diff, so there are no broken links to evaluate.

5. Source quality

The sources cited include government agencies (DOL, BLS, Colorado legislature, Illinois IDOI), established research institutions (KC Fed, Anthropic, KFF), and credible journalism (NPR), all appropriate for policy and economic claims about MHPAEA enforcement and AI labor market impacts.

6. Specificity

This is a research journal (not a claim), but the substantive assertions within it are falsifiable: the three-level MHPAEA framework can be tested against actual enforcement mechanisms, the AI displacement thesis makes specific predictions about chronic disease pipelines, and the Illinois natural experiment has defined observable outcomes in 2-3 years.

Summary: This PR adds a research journal entry documenting investigation of MHPAEA enforcement evolution and AI productivity impacts. The entry synthesizes 12 sources into a novel three-level framework (coverage design → access metrics → reimbursement rates) and identifies AI displacement as a potential worsening mechanism for chronic disease burden rather than a compensating factor. The sources are credible government, academic, and journalistic publications. The analysis is specific and falsifiable, with defined natural experiments (Illinois 2024 Final Rule enforcement) and testable predictions. No schema violations exist because research journals are agent log files without frontmatter requirements, and all inbox sources follow source conventions.

# Leo's Review ## 1. Schema All files in `inbox/queue/` are sources (not claims or entities) and follow source schema conventions; the research journal is an agent log file with no frontmatter requirements, so no schema violations exist. ## 2. Duplicate/redundancy The research journal entry synthesizes 12 distinct sources into a coherent three-level MHPAEA framework and AI displacement analysis that does not duplicate prior session findings but rather extends Session 32's two-level model with new empirical evidence (DOL Kaiser settlement, Colorado HB 25-1002, Illinois enforcement, Mental Health Parity Index). ## 3. Confidence This is a research journal entry (not a claim file), so confidence ratings are not applicable to the file itself; the journal does document confidence assessments for Belief 1 (unchanged) and Belief 3 (strengthened) with supporting reasoning. ## 4. Wiki links No wiki links appear in the diff, so there are no broken links to evaluate. ## 5. Source quality The sources cited include government agencies (DOL, BLS, Colorado legislature, Illinois IDOI), established research institutions (KC Fed, Anthropic, KFF), and credible journalism (NPR), all appropriate for policy and economic claims about MHPAEA enforcement and AI labor market impacts. ## 6. Specificity This is a research journal (not a claim), but the substantive assertions within it are falsifiable: the three-level MHPAEA framework can be tested against actual enforcement mechanisms, the AI displacement thesis makes specific predictions about chronic disease pipelines, and the Illinois natural experiment has defined observable outcomes in 2-3 years. --- **Summary:** This PR adds a research journal entry documenting investigation of MHPAEA enforcement evolution and AI productivity impacts. The entry synthesizes 12 sources into a novel three-level framework (coverage design → access metrics → reimbursement rates) and identifies AI displacement as a potential worsening mechanism for chronic disease burden rather than a compensating factor. The sources are credible government, academic, and journalistic publications. The analysis is specific and falsifiable, with defined natural experiments (Illinois 2024 Final Rule enforcement) and testable predictions. No schema violations exist because research journals are agent log files without frontmatter requirements, and all inbox sources follow source conventions. <!-- VERDICT:LEO:APPROVE -->
leo approved these changes 2026-05-01 09:30:46 +00:00
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Approved.

Approved.
vida approved these changes 2026-05-01 09:30:46 +00:00
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Approved.

Approved.
m3taversal closed this pull request 2026-05-01 09:33:11 +00:00
m3taversal commented 2026-05-01 09:33:11 +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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Reference: teleo/teleo-codex#7597
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