{"id":"W4234200517","doi":"10.1515/iupac.76.0198","title":"Cytochromes","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Toxicokinetics; Relation (database); Hazard; Toxicology; Computer science; Medicine; Chemistry; Pharmacology; Data mining; Biology; Linguistics; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001562633,0.002122933,0.00180546,0.00508231,0.001343003,0.003750914,0.002926473,0.002033391,0.1314164],"category_scores_gemma":[0.01252268,0.0008465702,0.001575381,0.008784251,0.0004688402,0.002553902,0.002634528,0.002144022,0.1742282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001783037,"about_ca_system_score_gemma":0.003662922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01390029,"about_ca_topic_score_gemma":0.02619417,"domain_scores_codex":[0.9976351,0.0003953422,0.0004113288,0.0008096004,0.0005248012,0.0002236981],"domain_scores_gemma":[0.9958506,0.001309206,0.0004818565,0.001036018,0.0009879277,0.0003343468],"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":[0.0001355556,0.00001916852,0.0009912539,0.001925913,0.00004404966,0.00003739159,0.00003749568,0.0002203485,0.0001794019,0.001041751,0.9886508,0.006716925],"study_design_scores_gemma":[0.0001206573,0.00001277663,0.002029407,0.0004939892,0.00003285948,0.00005854742,0.0000395364,0.0001543733,0.0001930664,0.00183141,0.9950131,0.00002031293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009258548,0.0002129642,0.000138878,0.00007763285,0.00002675413,0.00001949057,0.997459,0.0005558542,0.001416868],"genre_scores_gemma":[0.0002679376,0.0001796542,0.0004273154,0.0001078952,0.000008061993,0.00008930194,0.9979936,0.0001402459,0.0007860673],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1314164,"threshold_uncertainty_score":0.4396316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009905625016909012,"score_gpt":0.388617910676116,"score_spread":0.378712285659207,"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."}}