{"id":"W2056417301","doi":"10.1016/j.ajodo.2005.07.003","title":"Proposed reference point for 3-dimensional cephalometric analysis with cone-beam computerized tomography","year":2005,"lang":"en","type":"article","venue":"American Journal of Orthodontics and Dentofacial Orthopedics","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":99,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Landmark; Cephalometric analysis; Cone beam computed tomography; Orthodontics; Point (geometry); Computed tomography; Software; Cephalometry; Medicine; Dentistry; Computer science; Mathematics; Artificial intelligence; Geometry; Radiology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007886742,0.0003090193,0.0009420893,0.001645209,0.0002144478,0.0002081248,0.0002507209,0.00006265899,0.00003729938],"category_scores_gemma":[0.00008594493,0.0002415706,0.0005909493,0.003124905,0.0004889843,0.000428706,0.00006710304,0.0003265933,0.00000256655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003745107,"about_ca_system_score_gemma":0.0001087145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005036219,"about_ca_topic_score_gemma":0.00008614372,"domain_scores_codex":[0.9974371,0.0001069455,0.0008850709,0.0003447908,0.0008070141,0.0004191204],"domain_scores_gemma":[0.997317,0.0002451965,0.001125858,0.0002302628,0.0006720737,0.0004096376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001323094,0.0003276275,0.8923183,0.00002950394,0.002327096,0.0002092199,0.0001980596,0.0003590787,0.0005706778,0.0002826831,0.0002450645,0.1018096],"study_design_scores_gemma":[0.007058444,0.00408149,0.955192,0.0001194661,0.005185329,0.001821105,0.0009006131,0.003143895,0.0004347579,0.00006554578,0.02096721,0.001030111],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.889598,0.000447187,0.1090639,0.0001420314,0.0002526799,0.0002201944,0.0000795935,0.00002508134,0.0001713807],"genre_scores_gemma":[0.9120735,0.0001760917,0.08692773,0.0004372245,0.0002554845,0.000003377447,0.00002793908,0.0000290245,0.00006964159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1007795,"threshold_uncertainty_score":0.9850965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0139022943434315,"score_gpt":0.2722524508760121,"score_spread":0.2583501565325806,"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."}}