{"id":"W4231229873","doi":"10.1515/iupac.87.0114","title":"Bruxism","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Computer science; Psychology; 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":[0.002685323,0.001491606,0.001542262,0.005959792,0.001282213,0.004652521,0.002514443,0.002343059,0.152756],"category_scores_gemma":[0.03120307,0.0008846885,0.00193069,0.01023655,0.0008047547,0.003508575,0.003354802,0.002517139,0.163045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00234603,"about_ca_system_score_gemma":0.004855924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01610065,"about_ca_topic_score_gemma":0.02831585,"domain_scores_codex":[0.9948753,0.0009421026,0.001462006,0.001118099,0.001084939,0.0005176938],"domain_scores_gemma":[0.9845722,0.005585681,0.001937668,0.003602019,0.003721385,0.0005811127],"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":[0.00007736366,0.000008702922,0.000810025,0.001130423,0.0000198227,0.00001723055,0.0000295346,0.00008982133,0.00004520714,0.0008496403,0.9919227,0.004999534],"study_design_scores_gemma":[0.0001032152,0.00001160544,0.002231424,0.0009908997,0.00001776611,0.00006536238,0.00007231004,0.0001504811,0.0001245709,0.001733211,0.9944766,0.00002252223],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001510077,0.0002118919,0.0001400478,0.0002786563,0.0001186604,0.00004207353,0.9958261,0.0003616702,0.002869954],"genre_scores_gemma":[0.0006529646,0.0002523692,0.0005589613,0.0003321155,0.00004079482,0.000276063,0.9951624,0.0001782109,0.002546147],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.152756,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01652812106467299,"score_gpt":0.4262917270631237,"score_spread":0.4097636059984507,"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."}}