{"id":"W2053450714","doi":"10.1016/j.aodf.2010.03.009","title":"Cone Beam Computed Tomographic Findings in Temporomandibular Joint Disorders","year":2010,"lang":"en","type":"article","venue":"Alpha Omegan","topic":"Temporomandibular Joint Disorders","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Temporomandibular joint; Cone beam computed tomography; Magnetic resonance imaging; Medicine; Computed tomography; Computed tomographic; Radiography; Radiology; Tomography; TMJ disorders; Tomographic reconstruction; Computed tomography laser mammography; Nuclear medicine; Preclinical imaging; Orthodontics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002222595,0.0003440361,0.0001904647,0.002528729,0.0004615242,0.000365859,0.0003724617,0.0006723365,0.005360575],"category_scores_gemma":[0.001857169,0.0002964081,0.0002184184,0.001041575,0.0005096399,0.0003665385,0.0002261452,0.0002875285,0.0005556957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005339943,"about_ca_system_score_gemma":0.0005311169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01614326,"about_ca_topic_score_gemma":0.01682153,"domain_scores_codex":[0.9998393,0.00001604438,0.00001811154,0.00001768608,0.00006981506,0.00003902561],"domain_scores_gemma":[0.999498,0.000178354,0.0001160767,0.00002378271,0.0001112967,0.00007247015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009393865,0.0002473499,0.761024,0.0001293644,0.00005270785,0.1857558,0.0005537493,0.0005293224,0.02773747,0.0004422645,0.001719005,0.02086957],"study_design_scores_gemma":[0.00004872774,0.0001643707,0.8721833,0.00006697739,0.0000516506,0.1221495,0.000711339,0.0008930039,0.002127171,0.0002452749,0.001342324,0.00001644103],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698793,0.002329162,0.0005743103,0.000322398,0.00003766374,0.00007954775,0.0005402197,0.00003522522,0.02620224],"genre_scores_gemma":[0.9975731,0.0006017822,0.0003745712,0.0001349944,0.00002285178,0.00001566448,0.0001303024,0.000007266018,0.001139591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01614326,"threshold_uncertainty_score":0.03209859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01896675176057236,"score_gpt":0.3173821771952772,"score_spread":0.2984154254347048,"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."}}