{"id":"W4248604268","doi":"10.1515/iupac.73.0168","title":"Coenzyme","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Metabolism and Genetic Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Table (database); Biochemistry; Product (mathematics); Commission; Chemistry; Food science; Organic chemistry; Computer science; Political science; Mathematics; Data mining; Law","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":[0.0009117929,0.002177588,0.001872279,0.003648373,0.0008297493,0.002862397,0.002347867,0.00183513,0.05613675],"category_scores_gemma":[0.006479135,0.0005591087,0.001255291,0.008736984,0.0004126114,0.001219933,0.001692927,0.001859735,0.07908295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001504531,"about_ca_system_score_gemma":0.003317012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02264039,"about_ca_topic_score_gemma":0.03251261,"domain_scores_codex":[0.9986363,0.0001467232,0.0001888727,0.0005687166,0.0002791382,0.0001801432],"domain_scores_gemma":[0.9983632,0.0004031202,0.0002973174,0.0004019809,0.0003363244,0.0001980621],"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":[0.0008343274,0.00008127186,0.0092427,0.004699037,0.0003021682,0.0001989879,0.00006345191,0.0006809913,0.001012524,0.002416449,0.9635411,0.0169271],"study_design_scores_gemma":[0.0003208985,0.00003118028,0.008683774,0.0007254259,0.0001289605,0.0001926617,0.00004975932,0.0002271976,0.0007647195,0.001534886,0.987306,0.00003449829],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003075124,0.0004672149,0.0001034699,0.00005400174,0.00002426387,0.00001453911,0.9979556,0.0001479342,0.0009254424],"genre_scores_gemma":[0.0007732903,0.0003174644,0.0002741492,0.00005363745,0.000006076421,0.00005830641,0.997779,0.00003359505,0.0007044105],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05613675,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007758044110333241,"score_gpt":0.3682398914947886,"score_spread":0.3604818473844553,"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."}}