{"id":"W4232404499","doi":"10.1515/iupac.88.1096","title":"Myotome","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Academic Writing and Publishing","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Computer science; Linguistics; 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":[0.001134029,0.001883703,0.001706363,0.004874592,0.001184988,0.003303978,0.002833446,0.002426616,0.1316679],"category_scores_gemma":[0.009499324,0.0006651072,0.001616171,0.006982947,0.0005273414,0.002593517,0.003567658,0.001908673,0.1789466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001166096,"about_ca_system_score_gemma":0.00255661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009519374,"about_ca_topic_score_gemma":0.02569503,"domain_scores_codex":[0.9984238,0.0002592931,0.0003399693,0.0004727745,0.0002991558,0.0002050518],"domain_scores_gemma":[0.9970415,0.0009254996,0.0004404211,0.0006421989,0.0006929609,0.0002574582],"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":[0.0001743989,0.00001856104,0.001707531,0.003472487,0.00004828715,0.00007408151,0.00006720426,0.0001571571,0.0002692938,0.001171236,0.9849114,0.007928387],"study_design_scores_gemma":[0.0001123193,0.0000196121,0.004458837,0.001266745,0.00004591595,0.0001736735,0.0001238139,0.0001442638,0.0002165327,0.001467289,0.991941,0.0000300686],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001724747,0.000342377,0.0001337575,0.0001295875,0.00005826079,0.00003058114,0.9966882,0.000293393,0.002151396],"genre_scores_gemma":[0.0004870369,0.0003265867,0.0005450644,0.0001956854,0.00001909473,0.0001805845,0.9968202,0.00008734885,0.001338326],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1316679,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03705317595228621,"score_gpt":0.4144671852324816,"score_spread":0.3774140092801954,"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."}}