{"id":"W2994682237","doi":"10.1002/jbm4.10335","title":"Genetic Burden Contributing to Extremely Low or High Bone Mineral Density in a Senior Male Population From the Osteoporotic Fractures in Men Study (MrOS)","year":2019,"lang":"en","type":"article","venue":"JBMR Plus","topic":"Connective tissue disorders research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Center for Advancing Translational Sciences; National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Human Genome Research Institute; National Heart, Lung, and Blood Institute; Intellectual and Developmental Disabilities Research Center; National Institute on Aging; National Institutes of Health; Johns Hopkins University","keywords":"Osteogenesis imperfecta; Bone mineral; Osteoporosis; Medicine; Exome sequencing; Internal medicine; Population; Bone density; Cohort; Candidate gene; Bioinformatics; Genetics; Biology; Gene; Pathology; Mutation","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":[0.0004344265,0.0003105824,0.0004146024,0.0005915488,0.0006272374,0.0004580031,0.000217957,0.000329997,0.002424011],"category_scores_gemma":[0.0007862235,0.0002355523,0.0004171199,0.0006531501,0.0001956303,0.0001115735,0.0003654416,0.0002815411,0.0001866642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007605206,"about_ca_system_score_gemma":0.0001216011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003061134,"about_ca_topic_score_gemma":0.003743686,"domain_scores_codex":[0.9996718,0.00009093784,0.00003584148,0.0001098247,0.00005480141,0.00003680017],"domain_scores_gemma":[0.9997459,0.00004064517,0.00009428455,0.00003333504,0.00002042988,0.00006550812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005967469,0.00005238669,0.9938065,0.00002011452,0.000228557,0.0003143483,0.0001765839,0.00003421811,0.002728432,0.0000539808,0.0002398206,0.001748302],"study_design_scores_gemma":[0.0000243961,0.0001302233,0.998838,0.000004934098,0.00009490841,0.0004040632,0.00009198434,0.0001183722,0.00009421573,0.00002983573,0.0001661899,0.000002790529],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991146,0.0001491985,0.0001020898,0.00002238619,0.00000539753,0.000007839025,0.000378012,0.00000375753,0.0002167856],"genre_scores_gemma":[0.9992561,0.00006504136,0.000115065,0.0000235181,0.00001440718,0.00000913998,0.000331687,0.000002237709,0.0001828071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003061134,"threshold_uncertainty_score":0.008109093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009835631742071244,"score_gpt":0.2889013198570332,"score_spread":0.279065688114962,"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."}}