{"id":"W4238786786","doi":"10.1515/iupac.78.0234","title":"Cytochrome P450","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Relation (database); Computer science; Chemical nomenclature; Environmental chemistry; Management science; Chemistry; Engineering; Data mining","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":[0.0008156488,0.001637401,0.001689356,0.003914125,0.0007578059,0.00216488,0.001731821,0.001400513,0.08235047],"category_scores_gemma":[0.005952073,0.0005463939,0.00118136,0.008934289,0.0003008512,0.001368233,0.001237715,0.001794628,0.06980926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001500518,"about_ca_system_score_gemma":0.002482849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01531863,"about_ca_topic_score_gemma":0.02504065,"domain_scores_codex":[0.9988211,0.0001797641,0.0002334813,0.0003915483,0.0002655647,0.0001085376],"domain_scores_gemma":[0.9975116,0.0008554259,0.0004766,0.0004315725,0.0005626287,0.0001622144],"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":[0.0001508849,0.0000212426,0.001904119,0.003121588,0.00008450696,0.00006976743,0.00002697936,0.000252269,0.0003179289,0.0008506979,0.981079,0.012121],"study_design_scores_gemma":[0.0001332413,0.00002009342,0.006593783,0.0008856327,0.0000768091,0.0001787182,0.00002492207,0.0001391227,0.0002675494,0.001393672,0.9902607,0.00002577982],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001254293,0.0004713545,0.00009883788,0.00007248623,0.00001413823,0.00001470609,0.9981432,0.0001389259,0.0009208918],"genre_scores_gemma":[0.000562079,0.0005595428,0.0003473369,0.0001158932,0.000009102431,0.00007434777,0.9976672,0.00003613689,0.000628445],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08235047,"threshold_uncertainty_score":0.2754897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009885063558809498,"score_gpt":0.3645367446663872,"score_spread":0.3546516811075777,"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."}}