{"id":"W4230388924","doi":"10.1515/iupac.88.0504","title":"Aromatase","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Digestive system and related health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Data mining; 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":[0.0008811237,0.001116434,0.001341506,0.003447852,0.0004810284,0.002036756,0.001385997,0.001024408,0.07915737],"category_scores_gemma":[0.007400239,0.0005164598,0.001575657,0.005637782,0.0002549359,0.001407964,0.001366333,0.001407172,0.05495337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008426649,"about_ca_system_score_gemma":0.002034581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009820791,"about_ca_topic_score_gemma":0.02136793,"domain_scores_codex":[0.9990091,0.0001483511,0.0002778062,0.0002813625,0.0001923616,0.00009099446],"domain_scores_gemma":[0.9971771,0.0009679032,0.0005258661,0.0006106597,0.0005821446,0.0001362558],"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":[0.0003713249,0.00002821346,0.005054571,0.008113177,0.000189434,0.0001190526,0.00005643336,0.0003491839,0.0006394241,0.001402337,0.9557756,0.02790129],"study_design_scores_gemma":[0.0001884571,0.00002372138,0.009614943,0.001665799,0.0001208217,0.0002785021,0.00005499488,0.0001330252,0.0004114721,0.001480947,0.9859961,0.000031129],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002391397,0.0007615094,0.0001614309,0.0001051642,0.00004641633,0.00002656066,0.9965796,0.0001690657,0.001911034],"genre_scores_gemma":[0.0009762598,0.0009178842,0.0007418105,0.0002006015,0.00002198365,0.0001218598,0.9956213,0.00005606343,0.001342259],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07915737,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01300589662775791,"score_gpt":0.4292654571076754,"score_spread":0.4162595604799175,"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."}}