{"id":"W4386256587","doi":"10.1111/ocr.12707","title":"<scp>Cranio‐cervical</scp> abnormalities in moderate‐to‐severe osteogenesis imperfecta – Genotypic and phenotypic determinants","year":2023,"lang":"en","type":"article","venue":"Orthodontics and Craniofacial Research","topic":"Connective tissue disorders research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Shriners Hospitals for Children - Canada","funders":"National Institute of Child Health and Human Development; National Center for Advancing Translational Sciences; National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute of Dental and Craniofacial Research; Rare Diseases Clinical Research Network","keywords":"Osteogenesis imperfecta; Medicine; Short stature; Foramen magnum; Occipital bone; Cervical spondylosis; Cervical vertebrae; Osteochondrodysplasia; Bone age; Internal medicine; Pediatrics; Skull; Surgery; Anatomy; Pathology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001841609,0.0002540497,0.0003287171,0.0004633589,0.0004144124,0.0001905396,0.0003130716,0.0002742216,0.00002870733],"category_scores_gemma":[0.001660785,0.0002609874,0.0000607523,0.0008711435,0.0002530668,0.00001649856,0.0008391,0.0003413176,0.00005675419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003161542,"about_ca_system_score_gemma":0.0001930107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000625619,"about_ca_topic_score_gemma":0.002540633,"domain_scores_codex":[0.9968114,0.0004665123,0.0002938746,0.0007739462,0.0005700326,0.001084231],"domain_scores_gemma":[0.9985648,0.0003109504,0.00002941914,0.000398338,0.0003480792,0.0003484325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004733104,0.0001300814,0.7428809,0.0003936328,0.0000821952,0.000139221,0.002613726,0.0001040141,0.1894472,0.0006874064,0.001312547,0.06173576],"study_design_scores_gemma":[0.002382518,0.001073257,0.9514767,0.00008070943,0.00001920967,0.00005190544,0.00445669,0.002356576,0.01707651,0.001735545,0.01885068,0.000439689],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968389,0.001018711,0.0001451802,0.0002108275,0.00006358847,0.0006781482,0.00006979569,0.00002260249,0.0009522726],"genre_scores_gemma":[0.9934964,0.002473504,0.0001404078,0.00006441242,0.0001210303,0.0001340424,0.00004324985,0.00005984002,0.003467144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2085958,"threshold_uncertainty_score":0.9999842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04700470643592985,"score_gpt":0.3522056157233946,"score_spread":0.3052009092874647,"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."}}