{"id":"W4409517201","doi":"10.1111/joor.13970","title":"Exploring the Association Between Clinical Features and CBCT Findings in TMJ Degenerative Joint Disease","year":2025,"lang":"en","type":"article","venue":"Journal of Oral Rehabilitation","topic":"Temporomandibular Joint Disorders","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Medicine; Temporomandibular joint; TMJ disorders; Radiography; Cone beam computed tomography; Dentistry; Orthodontics; Medical imaging; Radiology; Computed tomography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001500908,0.0002669083,0.0002970548,0.001813227,0.0003488071,0.0006547284,0.0004078514,0.000453903,0.001799611],"category_scores_gemma":[0.008599784,0.0002142402,0.0002736726,0.00145708,0.0004371375,0.0004628596,0.0005295885,0.0004533218,0.0002929921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002941382,"about_ca_system_score_gemma":0.0005035218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001409644,"about_ca_topic_score_gemma":0.001551031,"domain_scores_codex":[0.9988824,0.0003451322,0.0002477133,0.0001153016,0.0002974377,0.0001121054],"domain_scores_gemma":[0.9931173,0.002872659,0.002646885,0.0002236377,0.0008013587,0.000338056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003647311,0.00001223819,0.9987968,0.00001165476,0.000005523077,0.0001609686,0.00002762213,0.00001239993,0.0001719131,0.000004166684,0.00001490034,0.0007452092],"study_design_scores_gemma":[0.000003516856,0.0001048231,0.9971348,0.00001124708,0.00001868393,0.002169713,0.0001767117,0.0001158131,0.0001560738,0.00001245287,0.00009322929,0.000002838517],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985675,0.0006333388,0.0001761065,0.00003115578,0.000004332638,0.00002061887,0.0001288752,0.000003201296,0.0004350147],"genre_scores_gemma":[0.9994773,0.0001531632,0.0002155049,0.00000939258,0.000007136748,0.00001062044,0.0000968368,9.387776e-7,0.00002922943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001813227,"threshold_uncertainty_score":0.00793761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1438395655011182,"score_gpt":0.4553878313962328,"score_spread":0.3115482658951145,"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."}}