{"id":"W4236112519","doi":"10.1515/iupac.79.1551","title":"Lipophilic","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Retinoids in leukemia and cellular processes","field":"Biochemistry, Genetics and Molecular Biology","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":[0.000869681,0.001962227,0.001837286,0.003349059,0.0007615584,0.002805471,0.002428398,0.001644221,0.1128727],"category_scores_gemma":[0.005957928,0.0005917823,0.001946094,0.005244675,0.0003342594,0.002272446,0.002051193,0.001525865,0.1276545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001199333,"about_ca_system_score_gemma":0.002260147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01023221,"about_ca_topic_score_gemma":0.02212724,"domain_scores_codex":[0.9988912,0.0001607217,0.0002003033,0.0003800587,0.0002469397,0.0001208016],"domain_scores_gemma":[0.9984573,0.000450009,0.000257842,0.0003769155,0.0003448584,0.0001131329],"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":[0.000538855,0.00005302548,0.002784096,0.005295079,0.0001486865,0.00007222181,0.00003852439,0.0006208847,0.0005432381,0.001384478,0.9658948,0.0226261],"study_design_scores_gemma":[0.0002797621,0.00003227412,0.003871596,0.0007863541,0.0001064858,0.0001273502,0.00004812243,0.000326533,0.0004811078,0.001637237,0.9922718,0.00003137859],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002921716,0.0006075928,0.0001827744,0.00007219786,0.00002738268,0.00003407167,0.9960617,0.00044254,0.002279601],"genre_scores_gemma":[0.0008428434,0.0004922323,0.0005966646,0.0001462537,0.00001086502,0.0001205824,0.9961107,0.00009057121,0.001589208],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1128727,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007860940164531113,"score_gpt":0.3594549145355825,"score_spread":0.3515939743710514,"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."}}