{"id":"W4414889536","doi":"10.1016/j.jobcr.2025.09.013","title":"Artificial intelligence and machine learning in diagnosing and managing temporomandibular disorders: A systematic review and meta-analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Oral Biology and Craniofacial Research","topic":"Temporomandibular Joint Disorders","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Saveetha Dental College","keywords":"Harmonization; Diagnostic accuracy; Applications of artificial intelligence; Medical imaging; Clinical Practice; Diagnostic test","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02181444,0.002684664,0.0175406,0.008654718,0.0007182895,0.003753812,0.002289987,0.00262164,0.002791756],"category_scores_gemma":[0.04878227,0.001230136,0.02994035,0.008228584,0.0008414272,0.002258365,0.001479971,0.00169157,0.0002296766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003258721,"about_ca_system_score_gemma":0.005840287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005798831,"about_ca_topic_score_gemma":0.01274986,"domain_scores_codex":[0.9862508,0.006769325,0.003949488,0.0009517384,0.001706532,0.000372124],"domain_scores_gemma":[0.9661923,0.02640778,0.004354778,0.0006860416,0.002092173,0.0002668261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001138828,0.00004429469,0.003345668,0.6882614,0.2758861,0.0001272952,0.0001016647,0.0007179601,0.0001625543,0.0002164731,0.0007577776,0.02923999],"study_design_scores_gemma":[0.0005952349,0.0003439767,0.004871578,0.1345209,0.8552298,0.0001974894,0.00007703136,0.0004479867,0.0001452419,0.0004216897,0.003106108,0.00004294836],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001240292,0.997815,0.0002890835,0.0001537681,0.00006962317,0.0001954886,0.0001347621,0.000008386252,0.00009366096],"genre_scores_gemma":[0.0465804,0.9492131,0.002047003,0.0005119123,0.0002259754,0.001006192,0.0002872924,0.000009895355,0.0001182958],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02181444,"threshold_uncertainty_score":0.1153671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.197101952243303,"score_gpt":0.504633397562737,"score_spread":0.307531445319434,"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."}}