{"id":"W4255947528","doi":"10.1515/iupac.79.1306","title":"Forced Diuresis","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Urinary Bladder and Prostate Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Toxicology; Computer science; 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":[0.000981934,0.001499121,0.001765327,0.001867346,0.0005064561,0.001988731,0.002137684,0.001237074,0.06687979],"category_scores_gemma":[0.01000691,0.0003926104,0.002266062,0.002912011,0.0002776789,0.001225052,0.001296054,0.001323661,0.04755438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009996578,"about_ca_system_score_gemma":0.001811065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01114574,"about_ca_topic_score_gemma":0.02254255,"domain_scores_codex":[0.9987017,0.0002162532,0.0003322002,0.0004335653,0.0002221242,0.00009415131],"domain_scores_gemma":[0.9969415,0.0008598635,0.0007201043,0.000610303,0.0006881329,0.0001801227],"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":[0.001397002,0.00009872022,0.01672372,0.006054603,0.0005620815,0.000107523,0.00003884554,0.0007038627,0.0002174644,0.0008367988,0.9403436,0.03291568],"study_design_scores_gemma":[0.001364547,0.0001507883,0.05189038,0.002973068,0.0005882098,0.0006329496,0.0001011523,0.001202881,0.0008390956,0.003348441,0.9367822,0.0001263403],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007025294,0.0005854538,0.0001687491,0.0001050733,0.00005189886,0.00005697203,0.996224,0.0003203979,0.001784931],"genre_scores_gemma":[0.003697297,0.0006451002,0.0009754308,0.0003177476,0.00005184287,0.0003424228,0.9913623,0.00009134135,0.002516493],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06687979,"threshold_uncertainty_score":0.2237352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02498805650439818,"score_gpt":0.4609081420541253,"score_spread":0.4359200855497272,"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."}}