{"id":"W4229897641","doi":"10.1515/iupac.78.0434","title":"Mutagen","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemical Reactions and Isotopes","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Pesticide; Computer science; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005607624,0.0004508668,0.0005725962,0.0001565238,0.0001939437,0.00003094959,0.000514518,0.001097221,0.05228252],"category_scores_gemma":[0.0006010011,0.0003350392,0.0002470025,0.0001635514,0.0002807468,0.00007681326,0.0002070233,0.001509738,0.00004828078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004021469,"about_ca_system_score_gemma":0.000518665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005828378,"about_ca_topic_score_gemma":0.0001493339,"domain_scores_codex":[0.9977878,0.000166373,0.0004825833,0.0005112271,0.0004812346,0.0005707775],"domain_scores_gemma":[0.9981514,0.0003810948,0.0002321603,0.0005557017,0.0003082216,0.0003713836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002550616,0.0003972401,0.000009296615,0.00008001601,0.0002517393,0.00009390417,0.000006961512,9.781274e-7,0.001248558,0.00001621417,0.981743,0.01589697],"study_design_scores_gemma":[0.001183697,0.0001133547,0.000007226262,0.00008341034,0.0003003454,0.00003202247,0.00001034839,0.000005107413,0.001789891,0.0001878671,0.9958504,0.0004362734],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004815877,0.001009541,0.00002268994,0.001185181,0.00220631,0.0003088895,0.9939162,0.0001008244,0.0007688438],"genre_scores_gemma":[0.00007892738,0.003752709,0.00001604719,0.001636881,0.00203349,0.00003659466,0.9893828,0.00003887885,0.003023654],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05223423,"threshold_uncertainty_score":0.9999102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07573187398154115,"score_gpt":0.5454021529971493,"score_spread":0.4696702790156082,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}