{"id":"W2905999019","doi":"10.1016/j.ejmg.2018.12.011","title":"Oro-dental and cranio-facial characteristics of osteogenesis imperfecta type V","year":2018,"lang":"en","type":"article","venue":"European Journal of Medical Genetics","topic":"Connective tissue disorders research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Children's Hospital; McGill University","funders":"National Institute of Dental and Craniofacial Research; National Center for Advancing Translational Sciences; National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institutes of Health","keywords":"Dentinogenesis imperfecta; Medicine; Craniofacial; Maxilla; Osteogenesis imperfecta; Mandible (arthropod mouthpart); Malocclusion; Dentistry; Overjet; Premolar; Orthodontics; Molar; Anatomy; Biology","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":[0.000205964,0.0004731342,0.0003898788,0.001553628,0.0003916464,0.0003830176,0.0004080591,0.0005211703,0.003373918],"category_scores_gemma":[0.001523416,0.0002179644,0.000387732,0.0007244884,0.000642729,0.0002416121,0.000389367,0.0002838008,0.0003055026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003021591,"about_ca_system_score_gemma":0.0003706662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008654551,"about_ca_topic_score_gemma":0.004736868,"domain_scores_codex":[0.9996186,0.00003561782,0.0000438156,0.00009072494,0.00009669,0.0001144589],"domain_scores_gemma":[0.9993494,0.0002429629,0.0001517682,0.00002552209,0.00005411596,0.0001762398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001307897,0.0001549842,0.6540725,0.00009251164,0.0001151059,0.2819914,0.001262263,0.001025753,0.0457712,0.0008540329,0.0004711572,0.01288122],"study_design_scores_gemma":[0.00002127407,0.0002451034,0.7687731,0.00001844596,0.00008015013,0.2258246,0.0008923619,0.0008898413,0.002088129,0.0003115574,0.0008289195,0.00002644412],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971299,0.0001473555,0.000100046,0.00004061265,0.000007538708,0.00001013601,0.0001788402,0.000005643992,0.002380092],"genre_scores_gemma":[0.9993882,0.00005444944,0.00007986287,0.00001422158,0.000009673785,0.000002679543,0.00009374622,0.000003600695,0.0003536024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008654551,"threshold_uncertainty_score":0.0172084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01486998715118814,"score_gpt":0.2957485917693409,"score_spread":0.2808786046181527,"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."}}