{"id":"W3149408767","doi":"10.1016/j.ortho.2021.03.005","title":"Evaluation of the nasal septum and depth of palatal arch in different facial vertical patterns: A Cone-Beam Computed Tomography Study","year":2021,"lang":"en","type":"article","venue":"International Orthodontics","topic":"Nasal Surgery and Airway Studies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Cone beam computed tomography; Coronal plane; Medicine; Orthodontics; Computed tomography; Nasal septum; Significant difference; Arch; Dentistry; Anatomy; Nuclear medicine; Nose; Surgery; Internal medicine","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":[0.0004839048,0.00009268236,0.0002671903,0.00009017332,0.00002071303,0.000006867553,0.00006363284,0.00003534983,0.0000278085],"category_scores_gemma":[0.0004144924,0.00006397062,0.0001005699,0.000147863,0.00008116914,0.00002897077,0.0001339023,0.0001289938,2.490984e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003124335,"about_ca_system_score_gemma":0.00007181038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003978157,"about_ca_topic_score_gemma":0.0004212386,"domain_scores_codex":[0.9983453,0.0001872562,0.0003590858,0.0001547312,0.0008621102,0.00009150476],"domain_scores_gemma":[0.9990185,0.0002138744,0.00006654644,0.000115557,0.0005549008,0.00003059156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008717975,0.0008249839,0.9925827,0.00002697198,0.0003248254,0.00001470619,0.0005401375,0.00003113056,0.001361911,0.00008984085,0.00001022616,0.004105371],"study_design_scores_gemma":[0.001893151,0.0001263857,0.9875041,0.0001461841,0.0001862443,0.000006832679,0.0005069876,0.001886793,0.007618111,0.000049397,0.00002164308,0.00005412891],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984853,0.0001350216,0.0002155603,0.0003070641,0.0004009197,0.0002813308,0.00002512944,0.000005177444,0.0001445415],"genre_scores_gemma":[0.9997881,0.00001215977,0.00005421502,0.00004330232,0.00005305715,0.000009640953,0.00001757073,0.00000563048,0.00001629968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006256199,"threshold_uncertainty_score":0.2608646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06070210635205151,"score_gpt":0.337608438577381,"score_spread":0.2769063322253295,"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."}}