{"id":"W3136835725","doi":"10.1016/j.bone.2021.115917","title":"Osteogenesis imperfecta tooth level phenotype analysis: Cross-sectional study","year":2021,"lang":"en","type":"article","venue":"Bone","topic":"Connective tissue disorders research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Shriners Hospitals for Children - Canada; McGill University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Child Health and Human Development; National Center for Advancing Translational Sciences; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Rare Diseases Clinical Research Network; National Institutes of Health; National Institute of Dental and Craniofacial Research","keywords":"Dentistry; Medicine; Molar; Pulp (tooth); Dentinogenesis imperfecta; Orthodontics; Dentin","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":[0.0005305904,0.0003583367,0.000519599,0.0007234094,0.0006763438,0.0004445363,0.0002563327,0.0004152376,0.001677175],"category_scores_gemma":[0.0008470059,0.0005483567,0.000351909,0.0008764012,0.0004057047,0.0003173233,0.0004112486,0.0004319258,0.0004237803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002469871,"about_ca_system_score_gemma":0.0002526411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004035152,"about_ca_topic_score_gemma":0.004148483,"domain_scores_codex":[0.9995431,0.0001235358,0.00004340291,0.0001568729,0.00007268646,0.00006045052],"domain_scores_gemma":[0.9992725,0.0001164444,0.0001943789,0.0001252847,0.000144121,0.0001471864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001862904,0.0001988357,0.9957458,0.00000803994,0.00007443409,0.0002158848,0.0001988666,0.00002686382,0.002049938,0.0000278414,0.00005546548,0.001211745],"study_design_scores_gemma":[0.00000653449,0.000279688,0.9985661,0.000001631765,0.0000439806,0.0005386864,0.0001918431,0.0000733509,0.0001429852,0.00001344748,0.0001387488,0.000002922879],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993772,0.00004812812,0.0001518926,0.000006518248,0.00000166338,0.000009868842,0.000175995,0.000002208994,0.0002266357],"genre_scores_gemma":[0.99915,0.00004341481,0.0001968528,0.0000172791,0.000003165613,0.00001419303,0.0002337951,0.000003522912,0.000337672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004035152,"threshold_uncertainty_score":0.008023322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04373457432036226,"score_gpt":0.3500840059647097,"score_spread":0.3063494316443474,"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."}}