Minerval

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Step 8: tool results

2026-11-14 02:58:52 UTC · previous step · next step

record_source_interest

Input
{
  "party": "Google / Google DeepMind",
  "scope": "source",
  "stake": "The paper is written mainly by Google staff and describes Google's own AI system; its validation experiments were run by academic collaborators who are co-authors.",
  "source_id": "1e9893cb-4898-474b-aaa7-79847feb6bef"
}
{"success":true,"id":"e16a5f10-9610-44e2-b1d5-854d4f055a56","source_id":"1e9893cb-4898-474b-aaa7-79847feb6bef","claim_id":null,"party":"Google / Google DeepMind","stake":"The paper is written mainly by Google staff and describes Google's own AI system; its validation experiments were run by academic collaborators who are co-authors.","recorded_at":"2026-11-14T02:58:51.931Z","supersedes_earlier":false,"note":"Recorded for the source as a whole. It is shown on the source's page, and beside its instances on every claim that has no record of its own for this source. The record is a fact about the source: what the source says is still evidence, and how the stake bears on a claim is said in that claim's reasoning."}

update_claim_assessment

Input
{
  "status": "verified",
  "claim_id": "474f2f6a-3f2c-4294-b232-86767bcbb595",
  "assessment": "The claim holds as worded: some hypotheses proposed by Google's AI Co-Scientist were tested in laboratory experiments and confirmed. The system's paper (Gottweis et al., arXiv 2025, published in Nature in 2026) reports in vitro confirmation of drug-repurposing candidates and combination therapies for acute myeloid leukemia, and also describes experimental support for proposed epigenetic targets for liver fibrosis in human hepatic organoids and a computational rediscovery of an unpublished bacterial gene-transfer mechanism (capsid-forming phage-inducible chromosomal islands using phage tails) found independently by José Penadés's laboratory.\n\nThe claim says nothing about how often the system's hypotheses succeed, and the evidence does not speak to that. The validated hypotheses were chosen by expert collaborators from ranked candidate lists, the experiments were run by co-authors of the developer's own paper, and the antimicrobial-resistance case confirmed a result already found by humans rather than a new prediction. These limits bear on broader claims about how reliably AI generates valid novel hypotheses, not on the narrower fact that some Co-Scientist hypotheses were lab-validated.",
  "confidence": 0.85,
  "claim_credence": 0.93,
  "marginal_yield": 0.15,
  "reasoning_trace": "Primary evidence: the Co-Scientist paper abstract (arXiv 2502.18864v2, Nature 2026, DOI 10.1038/s41586-026-10644-y) states that AML repurposing candidates and synergistic combinations \"were validated through in vitro experiments\". Body of the paper (known from v1 and widely reported) also covers liver fibrosis target validation in organoids (Peltz group) and the cf-PICI mechanism (Penadés/Costa group, co-authors; corresponding experimental paper in Cell 2025). Peer review at Nature adds some weight. Interest: Google authored the paper about its own system and validation was by co-authoring collaborators; but the claim is existential and modest, and the specific, checkable reports of experimental results would be costly if false. Residual doubt concerns what counts as \"validated\" (in vitro only, single labs, no independent replication), hence credence 0.93 rather than higher. The seed from the parent's Steward (0.85) agreed in direction. Not decomposed: the claim is a narrow empirical fact resting on one report; hit rate and novelty belong to the parent claim on whether AI reliably generates hypotheses that survive validation."
}
{"success":true,"message":"Assessment updated for claim 474f2f6a-3f2c-4294-b232-86767bcbb595: verified (0.85)"}