{"id":"W4252099105","doi":"10.1515/iupac.79.1641","title":"Monooxygenase","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Chemistry; Philosophy; Biology; Linguistics; Organic chemistry","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":[0.0008538573,0.002167759,0.001838182,0.004018909,0.000917765,0.002994443,0.002140606,0.001618949,0.0869012],"category_scores_gemma":[0.005468554,0.0006181246,0.001997822,0.006506451,0.0002858265,0.001815566,0.001620994,0.001644387,0.12013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001538601,"about_ca_system_score_gemma":0.003070862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01685632,"about_ca_topic_score_gemma":0.03231562,"domain_scores_codex":[0.9987071,0.0001769115,0.0002268361,0.0004456741,0.0002890888,0.0001544428],"domain_scores_gemma":[0.998099,0.0004874878,0.0003040173,0.0004443754,0.0005151533,0.0001499396],"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":[0.0004032486,0.00004216863,0.003472723,0.004427867,0.0001626035,0.00005713279,0.00003939582,0.0004664019,0.000522636,0.001033058,0.9749064,0.01446635],"study_design_scores_gemma":[0.0002173971,0.00003124522,0.006456723,0.0007617356,0.0001376735,0.0001261716,0.00004930276,0.000291259,0.0005260978,0.001415241,0.9899492,0.00003787044],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001534431,0.0003719448,0.00006616887,0.0000532117,0.0000202461,0.00001256961,0.9981022,0.0001844351,0.001035824],"genre_scores_gemma":[0.0004081599,0.0002814346,0.0002462399,0.0000740912,0.000007629318,0.00005100646,0.9982165,0.00003625969,0.0006787369],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0869012,"threshold_uncertainty_score":0.2907135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005773268843321157,"score_gpt":0.3217792319541286,"score_spread":0.3160059631108075,"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."}}