{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003493348,0.0001603513,0.0002503473,0.00006708091,0.00005628369,0.00004020021,0.0002126682,0.0001112574,0.0001753805],"category_scores_gemma":[0.0004747768,0.0001226453,0.00003861622,0.0001967476,0.00001711498,0.000005241284,0.0002858595,0.0001608225,0.00003763106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009900695,"about_ca_system_score_gemma":0.00007328581,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01620924,"about_ca_topic_score_gemma":0.04614213,"domain_scores_codex":[0.9984096,0.0002275299,0.0002618462,0.0004623946,0.0002367231,0.0004018697],"domain_scores_gemma":[0.9993032,0.00009026221,0.00006266744,0.0004117735,0.00007567669,0.00005644174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008520359,0.0001007241,0.883252,0.000007780933,0.00002778626,0.00007388593,0.001037383,0.00188944,0.10969,0.000001362443,0.0001319125,0.002935607],"study_design_scores_gemma":[0.002633067,0.0002997992,0.9917257,0.0000216744,0.000009090661,0.000006369542,0.001419679,0.0008504295,0.002731294,0.00003388778,0.00009604174,0.000172992],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997467,0.0003024233,0.00003618184,0.0003701999,0.00006387041,0.001680727,0.0000225068,0.000005845096,0.00005128767],"genre_scores_gemma":[0.9986917,0.000005688111,0.00009924597,0.0001224559,0.0001488719,0.00006620199,0.000115101,0.00002066966,0.0007300222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1084736,"threshold_uncertainty_score":0.9903419,"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."}}