{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005555017,0.00009761511,0.0003318964,0.0002399169,0.0002682345,0.00002021242,0.00008574605,0.00009653669,0.000007880117],"category_scores_gemma":[0.0137547,0.00006646955,0.0001245324,0.0002780404,0.00005376637,0.0004402094,0.00005131619,0.0008851274,0.000004336149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000450803,"about_ca_system_score_gemma":0.0003034131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005953023,"about_ca_topic_score_gemma":0.0001750338,"domain_scores_codex":[0.9965799,0.001731863,0.001067465,0.0001399032,0.0002885226,0.0001923592],"domain_scores_gemma":[0.9951933,0.003772976,0.0005452447,0.0001164144,0.0002837473,0.0000883285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001371513,0.00004320601,0.9712792,0.00007500566,0.00004691963,0.000001401283,0.004572048,0.00002201583,0.00004764771,0.0008263856,0.01946308,0.003485929],"study_design_scores_gemma":[0.001117926,0.00017847,0.9814543,0.0003909413,0.00006526893,1.650209e-7,0.004660002,0.00001755647,0.000008146927,0.006490368,0.005559788,0.00005711074],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.920032,0.0002206726,0.0001770993,0.07835396,0.000632329,0.0004501397,0.000005295527,0.00000920484,0.0001192767],"genre_scores_gemma":[0.9961461,0.00009971191,0.002939753,0.0003695987,0.0001462789,0.00003699746,0.000004008793,0.000008688879,0.0002487989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07798436,"threshold_uncertainty_score":0.9945529,"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."}}