{"id":"W2901627847","doi":"10.1002/jbm4.10124","title":"Cone‐Beam Computed Tomography of Osteogenesis Imperfecta Types III and IV: Three‐Dimensional Evaluation of Craniofacial Features and Upper Airways","year":2018,"lang":"en","type":"article","venue":"JBMR Plus","topic":"Connective tissue disorders research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Shriners Hospitals for Children - Canada; McGill University","funders":"National Institute of Dental and Craniofacial Research; National Institute of Child Health and Human Development; National Center for Advancing Translational Sciences; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Banting and Best Diabetes Centre, University of Toronto; Rare Diseases Clinical Research Network; National Institutes of Health; Osteogenesis Imperfecta Foundation","keywords":"Cone beam computed tomography; Craniofacial; Osteogenesis imperfecta; Computed tomography; Orthodontics; Medicine; Anatomy; Radiology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000293064,0.0001006725,0.0001628021,0.00008161287,0.00006398172,0.000007477256,0.00007059867,0.0001122627,0.00007331545],"category_scores_gemma":[0.000102045,0.00009261056,0.00004556052,0.0001142053,0.0003136403,0.000003770718,0.0001299221,0.00004225308,9.586531e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007264179,"about_ca_system_score_gemma":0.0001020269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001787715,"about_ca_topic_score_gemma":0.000376706,"domain_scores_codex":[0.9991739,0.00006863112,0.0001293659,0.0002468803,0.0002529099,0.0001282648],"domain_scores_gemma":[0.999167,0.00002918233,0.00005808696,0.0001619713,0.0005386613,0.00004512407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004540639,0.00004801766,0.0260014,0.0000365388,0.0001314061,3.529602e-7,0.0001731533,0.00002891166,0.9578319,0.00006479515,0.000507927,0.01472157],"study_design_scores_gemma":[0.00315886,0.001163964,0.4931438,0.00002921491,0.0001032102,0.00001658866,0.0001090428,0.00241917,0.4990779,0.0002703515,0.0002987859,0.000209172],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995603,0.003515786,0.0000632792,0.00005626043,0.00005669249,0.0003026975,0.00003898506,0.000003956862,0.0003592929],"genre_scores_gemma":[0.9996376,0.0000388694,0.0001290704,0.00002254681,0.00007129032,0.000009628389,0.0000516312,0.00001001947,0.00002935077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4671424,"threshold_uncertainty_score":0.3776549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548148805335653,"score_gpt":0.2929406469727687,"score_spread":0.2774591589194122,"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."}}