Preserving Exposure and Outcome Context in Automated Cancer Evidence Synthesis

Scientific evidence verification must preserve a claim's chemical, exposure setting, species, cancer site, endpoint, and evidence type. We study whether a deterministic toxicology scope gate transfers to general biomedical claim verification. Motivated by solvent-cancer synthesis, we combine a retrospective retrieval audit with a frozen experiment on 662 SciFact claim-abstract pairs from the public development split and an original-test citation subset. A lexical field extractor gates a TF-IDF verifier; linked source families are excluded from training, and policies receive identical complete stored abstracts. Strict compatibility retains no substantive answers because the extractor recognizes no chemical values. Mismatch-only filtering leaves development support decisions unchanged and removes two correct supports from one source family in the secondary subset, without removing any reference support-errors. At 89 accepted supports, confidence filtering retains 34 correct decisions versus 32 for mismatch filtering. Separately, we reanalyze published TCE-metabolite transcript estimates across 22 matched-dose pairs in five human cell models. At 62.5 micromolar, both metabolites induce large renal NRF2-associated transcript responses, whereas two neuronal models respond much more strongly to the cysteine conjugate, consistent with the source study. We release frozen protocols, predictions, probe-level estimates, and sensitivity analyses. The results locate the observed verification failures in missing fields and erroneous extraction; the biological analysis supports hypothesis development without measuring malignant transformation or establishing a new cancer mechanism.