{"id":"W4234426855","doi":"10.1515/iupac.87.0348","title":"Lipoma","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Gastrointestinal disorders and treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Relation (database); Chemical nomenclature; Computer science; Chemistry; Linguistics; Philosophy; Data mining; 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":[0.0009470508,0.001116118,0.001306501,0.003652083,0.0006942267,0.003132194,0.002222043,0.001616811,0.2031686],"category_scores_gemma":[0.009560582,0.0004202806,0.001292016,0.005499196,0.0003551136,0.002196343,0.002358605,0.00136843,0.2254495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001226399,"about_ca_system_score_gemma":0.002324676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007843382,"about_ca_topic_score_gemma":0.01469118,"domain_scores_codex":[0.9988769,0.0001899775,0.0002324891,0.0003569255,0.0001823116,0.0001615077],"domain_scores_gemma":[0.9968899,0.0009386609,0.0004289395,0.0006873201,0.0007538045,0.000301463],"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":[0.0001421857,0.00001287671,0.001140106,0.001340051,0.00003018809,0.00004478719,0.00001920493,0.0001030161,0.00007501474,0.0008028183,0.9888293,0.007460373],"study_design_scores_gemma":[0.0001713893,0.00001365108,0.00211519,0.0007606503,0.00002883335,0.0001196982,0.00005306674,0.0001540902,0.0001659499,0.001517533,0.9948849,0.00001507415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001390415,0.000202125,0.000103748,0.0001493118,0.00005174047,0.00002779337,0.9957073,0.0004435562,0.003175319],"genre_scores_gemma":[0.0006076183,0.0002554182,0.0003697204,0.0002804917,0.00002988515,0.0001217487,0.9959564,0.0001295091,0.002249232],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2031686,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01463096229596728,"score_gpt":0.4076891152752917,"score_spread":0.3930581529793244,"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."}}