{"id":"W1534837458","doi":"","title":"The Research Diagnostic Criteria for Temporomandibular Disorders. V: methods used to establish and validate revised Axis I diagnostic algorithms.","year":2010,"lang":"en","type":"article","venue":"PubMed","topic":"Temporomandibular Joint Disorders","field":"Health Professions","cited_by":236,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Research Diagnostic Criteria; Algorithm; Diagnostic test; Medicine; Computer science; Psychology; Psychiatry; Pediatrics; Chronic pain","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":[0.01846295,0.001575488,0.001417159,0.008693088,0.0008303691,0.001732865,0.002808395,0.001137961,0.003870012],"category_scores_gemma":[0.05757298,0.000706373,0.002012394,0.005919978,0.0008643775,0.000983483,0.00321506,0.001608834,0.002396509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003135885,"about_ca_system_score_gemma":0.006480894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01570075,"about_ca_topic_score_gemma":0.01519705,"domain_scores_codex":[0.9820029,0.006707165,0.005414752,0.00129275,0.003946075,0.000636304],"domain_scores_gemma":[0.9572394,0.009589599,0.0169722,0.002582234,0.01285386,0.0007626149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001155602,0.0003649254,0.574959,0.00478053,0.0009809257,0.0004513696,0.001772507,0.002863785,0.003257838,0.006985061,0.1324185,0.27001],"study_design_scores_gemma":[0.0008671898,0.0005304135,0.912149,0.002246572,0.0005057757,0.002767669,0.00087841,0.007575716,0.001971832,0.005143681,0.06520669,0.0001569844],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.2877214,0.04065497,0.2590858,0.006144296,0.002230763,0.06990737,0.3028322,0.003825267,0.02759789],"genre_scores_gemma":[0.3078707,0.005249151,0.4292907,0.001109348,0.0003453624,0.085462,0.1669425,0.0003860717,0.003344104],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01846295,"threshold_uncertainty_score":0.09764254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1361952303969157,"score_gpt":0.4840223011097983,"score_spread":0.3478270707128826,"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."}}