{"id":"W4243980862","doi":"10.1515/iupac.88.1292","title":"Retinoid","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; 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":[0.001185193,0.001544098,0.001718889,0.004131909,0.0007727101,0.00251178,0.002241513,0.001644298,0.0802552],"category_scores_gemma":[0.007457215,0.0006710278,0.001785407,0.006875056,0.0003875029,0.001889402,0.002103494,0.001906151,0.09278096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001368551,"about_ca_system_score_gemma":0.003005942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01640951,"about_ca_topic_score_gemma":0.03046108,"domain_scores_codex":[0.9985764,0.0002440522,0.0003179849,0.0004008544,0.0003308365,0.0001299725],"domain_scores_gemma":[0.9971323,0.0008305849,0.0004912645,0.0007223849,0.0006476546,0.0001757397],"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":[0.0002619889,0.0000280896,0.001711084,0.005687453,0.0001082623,0.00005415631,0.00004905632,0.0003521625,0.0005779087,0.001287019,0.9706588,0.0192241],"study_design_scores_gemma":[0.0001374185,0.00001852367,0.002758494,0.001122504,0.00006133399,0.0000838317,0.00004012887,0.0001022644,0.0003234672,0.0007914174,0.9945375,0.00002310315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001539667,0.0006304478,0.0001796213,0.00009047203,0.00003940605,0.00002972347,0.9965242,0.0003029672,0.002049186],"genre_scores_gemma":[0.0004950861,0.0006548804,0.0006122991,0.0001765116,0.00001211751,0.0001359688,0.996387,0.00007727397,0.001448796],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0802552,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.010552185578784,"score_gpt":0.3955759677124498,"score_spread":0.3850237821336658,"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."}}