{"id":"W4248003975","doi":"10.1515/iupac.88.0831","title":"Gall Bladder","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Agricultural safety and regulations","field":"Agricultural and Biological Sciences","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; Philosophy; Data mining","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":[0.0009761638,0.001023266,0.001470349,0.003598542,0.0006149506,0.002412662,0.00165663,0.001448222,0.1818981],"category_scores_gemma":[0.01087386,0.0004328846,0.001622327,0.005832599,0.0003396319,0.00201011,0.002075752,0.001209331,0.125376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00114397,"about_ca_system_score_gemma":0.002617862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01325264,"about_ca_topic_score_gemma":0.02009147,"domain_scores_codex":[0.9986625,0.0002284141,0.0003752751,0.0003683182,0.0002277374,0.0001378342],"domain_scores_gemma":[0.9953827,0.001426651,0.0007939716,0.001001574,0.001149529,0.0002454824],"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":[0.0002369287,0.00001528063,0.002087049,0.004630303,0.00007598157,0.00007063827,0.00003553244,0.0001691248,0.0001459532,0.0009511255,0.9670416,0.02454059],"study_design_scores_gemma":[0.0001424193,0.00002238665,0.006577714,0.002934771,0.00007809225,0.0002430851,0.00008256536,0.0001261837,0.0001915213,0.00194377,0.987627,0.00003060605],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002500092,0.0009159956,0.0001911638,0.0002189446,0.00009674222,0.00005701285,0.9927709,0.0003019122,0.005197301],"genre_scores_gemma":[0.001449593,0.001126205,0.0007427186,0.0005677647,0.00005508812,0.000220335,0.9915674,0.0001265782,0.004144304],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1818981,"threshold_uncertainty_score":0.6085097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02004767914079745,"score_gpt":0.3706158365026935,"score_spread":0.350568157361896,"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."}}