{"id":"W3080802341","doi":"10.1186/s13005-022-00310-9","title":"Orbital volume changes during growth and development in human children assessed using cone beam computed tomography","year":2022,"lang":"en","type":"article","venue":"Head & Face Medicine","topic":"Ocular Disorders and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Cone beam computed tomography; Craniofacial; Orbit (dynamics); Craniofacial surgery; Volume (thermodynamics); Computed tomography; Retrospective cohort study; Nuclear medicine; Orthodontics; Surgery","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006211554,0.0003105833,0.0002488434,0.001424222,0.0002911138,0.0006229287,0.0002166632,0.0002782675,0.0006934957],"category_scores_gemma":[0.002362927,0.0002264765,0.0002467626,0.00103795,0.0004176256,0.0003820063,0.0003713885,0.0002869205,0.0002207896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003102326,"about_ca_system_score_gemma":0.0003607014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009000706,"about_ca_topic_score_gemma":0.008273895,"domain_scores_codex":[0.9996328,0.00006229834,0.00002883874,0.00007948164,0.0001454873,0.00005104455],"domain_scores_gemma":[0.99845,0.0002795598,0.000843198,0.00008588137,0.0002554915,0.00008573554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000898044,0.00001532929,0.9947793,0.000008049911,0.00001124353,0.0001822511,0.0001292245,0.00007766833,0.001449559,0.00001216397,0.00004282942,0.003202469],"study_design_scores_gemma":[0.000001424599,0.00007560131,0.9983535,0.000003138288,0.000005671661,0.0007258504,0.0001284847,0.00008409855,0.0004768281,0.000006938284,0.0001357011,0.000002765096],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985863,0.0002832012,0.0002625235,0.000008410618,0.000002133977,0.00001268258,0.0004935178,0.0000101809,0.0003410837],"genre_scores_gemma":[0.9984735,0.0002153527,0.0006946743,0.000007260892,0.000003259055,0.00002135353,0.0004011399,0.000006538141,0.0001769538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009000706,"threshold_uncertainty_score":0.01789665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0123918855450422,"score_gpt":0.2541735779453837,"score_spread":0.2417816924003415,"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."}}