{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004483346,0.0004875845,0.0004665971,0.00007033852,0.000266901,0.0001356986,0.001141064,0.0008713048,0.0005169946],"category_scores_gemma":[0.001058744,0.0004493422,0.0002427298,0.0000467122,0.0002949023,0.000003818114,0.0004474832,0.0004943276,0.000005141297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008023083,"about_ca_system_score_gemma":0.001280127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004602601,"about_ca_topic_score_gemma":0.000187338,"domain_scores_codex":[0.9976876,0.0000719622,0.0003721926,0.0007681819,0.0006580745,0.0004419875],"domain_scores_gemma":[0.99702,0.00001049582,0.0004122216,0.00193109,0.0004661105,0.0001600478],"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":[0.0001340799,0.00009186839,0.00001825931,0.0002202803,0.00009905893,0.0000545175,0.000002223276,0.000001877836,0.001877034,0.000001147837,0.9965505,0.0009491773],"study_design_scores_gemma":[0.0005560516,0.0003429725,0.00001280552,0.0001305389,0.0001032012,0.0000477185,0.0000106459,0.000001129399,0.006572282,0.00004175325,0.9916434,0.0005374451],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001460421,0.00431791,0.000091937,0.0001182691,0.000818447,0.0001990881,0.9925676,0.00002041129,0.000405909],"genre_scores_gemma":[0.0002379759,0.004427388,0.00008416755,0.000260863,0.002409849,0.00001984815,0.989589,0.00005629808,0.002914642],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.004907019,"threshold_uncertainty_score":0.9997959,"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."}}