{"id":"W4387378578","doi":"10.1016/j.jacr.2023.07.024","title":"Opportunistic Screening of Low Bone Mineral Density From Standard X-Rays","year":2023,"lang":"en","type":"article","venue":"Journal of the American College of Radiology","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Ontario; McGill University; McGill University Health Centre; Sunnybrook Health Science Centre; BitCan (Canada); Health Sciences Centre; McMaster University; University of Toronto","funders":"Canadian Institutes of Health Research; Eli Lilly Canada; Amgen Canada; University of British Columbia; University of Alberta; Arthritis Society; University of Manitoba; Dairy Farmers of Canada; McGill University; Université Laval; University of Saskatchewan; University of Toronto; Servier Canada","keywords":"Medicine; Bone mineral; Femoral neck; Osteoporosis; Pelvis; Radiography; Receiver operating characteristic; Nuclear medicine; Lumbar; Radiology; Dual-energy X-ray absorptiometry; Bone density; Densitometry; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004320557,0.0003775668,0.0005075291,0.001907837,0.001134535,0.0005793207,0.0004593451,0.0008163945,0.005055279],"category_scores_gemma":[0.001794313,0.000165882,0.0004012962,0.001005534,0.0003658695,0.0002926479,0.0004382306,0.0006027814,0.001038125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003185141,"about_ca_system_score_gemma":0.0008367411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01034631,"about_ca_topic_score_gemma":0.01806927,"domain_scores_codex":[0.99949,0.0001103313,0.00004199252,0.00005713014,0.0001255296,0.0001749877],"domain_scores_gemma":[0.9991807,0.0001926526,0.0001821741,0.0000577306,0.0001279925,0.0002586921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004075106,0.0004978032,0.9621533,0.00008737834,0.00003492819,0.006986165,0.0002001814,0.00004520268,0.001204285,0.0001753103,0.00362041,0.0245875],"study_design_scores_gemma":[0.00008527633,0.001434891,0.9423491,0.0002011399,0.000158026,0.04126213,0.001014943,0.001049457,0.001217062,0.0006612058,0.0105359,0.00003092229],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9602818,0.002442078,0.0012222,0.001278605,0.0001541099,0.0005066884,0.00132956,0.0001472958,0.03263775],"genre_scores_gemma":[0.9897904,0.0009757836,0.0009538207,0.001212209,0.0001899153,0.00009630463,0.00055349,0.00001278235,0.006215221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01034631,"threshold_uncertainty_score":0.02057219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03013555676451229,"score_gpt":0.3211101656090603,"score_spread":0.290974608844548,"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."}}