{"id":"W4241288894","doi":"10.1515/iupac.88.1291","title":"Retinoic Acid","year":2017,"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":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Computer science; Linguistics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004582151,0.000522214,0.0005013329,0.00007666768,0.0002779679,0.0001427854,0.001204582,0.000930019,0.0005315581],"category_scores_gemma":[0.001077448,0.0004803808,0.0002590834,0.00005346038,0.000309706,0.000004488454,0.0004689128,0.0005303744,0.000006038349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008907543,"about_ca_system_score_gemma":0.001315334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003475105,"about_ca_topic_score_gemma":0.0001848499,"domain_scores_codex":[0.99756,0.00007867905,0.0003930544,0.000812032,0.0006819081,0.0004743422],"domain_scores_gemma":[0.9969194,0.000008924989,0.0004321947,0.00200349,0.0004657355,0.0001702613],"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":[0.00014596,0.00009227998,0.00001710036,0.0002382238,0.0001125818,0.00006032062,0.000002586179,0.00000122612,0.005300696,9.865121e-7,0.9928666,0.001161381],"study_design_scores_gemma":[0.000603402,0.0003723469,0.00001153699,0.0001426515,0.0001158745,0.00005263919,0.00001110292,0.000001102219,0.02512112,0.00004127857,0.9729687,0.0005582337],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00173428,0.006506165,0.0001177236,0.000115692,0.0008484094,0.0002071298,0.990122,0.0000226635,0.0003259543],"genre_scores_gemma":[0.0005085344,0.004544704,0.00009745781,0.0002606489,0.002364041,0.00002252328,0.990059,0.0000602462,0.002082907],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01989795,"threshold_uncertainty_score":0.9997648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01067495804902471,"score_gpt":0.3909210677891168,"score_spread":0.3802461097400922,"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."}}