{"id":"W4245965165","doi":"10.1515/iupac.76.0224","title":"Enzyme Induction","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Enzyme Catalysis and Immobilization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Toxicokinetics; Hazard; Toxicology; Computer science; Medicine; Chemistry; Pharmacology; Biology; Philosophy; Linguistics","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":[0.001614256,0.002889199,0.002060789,0.00429811,0.001041482,0.00380021,0.003200479,0.002163914,0.08534651],"category_scores_gemma":[0.009291388,0.000959293,0.00217667,0.007562404,0.0005095838,0.002215022,0.002166655,0.002417393,0.1253029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001951106,"about_ca_system_score_gemma":0.003005993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01099581,"about_ca_topic_score_gemma":0.02083488,"domain_scores_codex":[0.9974457,0.0003760441,0.0004113048,0.000986429,0.0005620957,0.000218463],"domain_scores_gemma":[0.9963437,0.001242739,0.0005055489,0.0009759731,0.0007003734,0.0002316575],"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":[0.0003286618,0.00006946526,0.002658023,0.004954583,0.0001036229,0.00006151148,0.00006100021,0.0007239123,0.0009469018,0.001764972,0.9737253,0.01460198],"study_design_scores_gemma":[0.000148417,0.00003073497,0.003713216,0.0006336197,0.00006359477,0.00008351095,0.00004372246,0.0003091413,0.0008854124,0.001687915,0.9923663,0.00003439696],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001996315,0.0004212279,0.0002971683,0.000055316,0.00003003031,0.0000289814,0.9965575,0.0007613266,0.00164894],"genre_scores_gemma":[0.0003318154,0.0002312926,0.0006550226,0.00007311678,0.000005413362,0.0001299615,0.9976665,0.000120161,0.0007866923],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08534651,"threshold_uncertainty_score":0.2855126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01079669276265431,"score_gpt":0.3571345225448138,"score_spread":0.3463378297821595,"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."}}