{"id":"W4367043631","doi":"10.1016/j.jocd.2023.101378","title":"FRAX Adjustment by Trabecular Bone Score with or Without Bone Mineral Density: The Manitoba BMD Registry","year":2023,"lang":"en","type":"article","venue":"Journal of Clinical Densitometry","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"Medical Research Council","keywords":"FRAX; Medicine; Femoral neck; Trabecular bone score; Bone mineral; Hip fracture; Osteoporosis; Dentistry; Cohort; Orthodontics; Nuclear medicine; Internal medicine; Osteoporotic fracture; Quantitative computed tomography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003354652,0.0008489646,0.001165664,0.002919361,0.001722914,0.001323746,0.002454948,0.0005419638,0.002466035],"category_scores_gemma":[0.007968524,0.001174501,0.00107562,0.009516488,0.0004358401,0.0007049489,0.001449683,0.0009693779,0.0008596805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003250214,"about_ca_system_score_gemma":0.01260811,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8846139,"about_ca_topic_score_gemma":0.9268389,"domain_scores_codex":[0.9969247,0.001200209,0.0002323026,0.0005403463,0.0005728616,0.0005295553],"domain_scores_gemma":[0.9951614,0.0004300222,0.001140092,0.0007658959,0.00207258,0.000430114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004226105,0.00003822352,0.9869055,0.00004697558,0.0005247912,0.0001124868,0.0001647958,0.0002009017,0.0003444999,0.0001972874,0.007777206,0.00326459],"study_design_scores_gemma":[0.00008481335,0.00004990919,0.9940636,0.00003958457,0.0003907625,0.00009574887,0.0002886742,0.000470156,0.000209518,0.00008515204,0.004205552,0.00001668824],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8758278,0.003441071,0.003794173,0.001692022,0.0002579917,0.000496715,0.103175,0.0004044336,0.0109108],"genre_scores_gemma":[0.9500871,0.00161804,0.004168808,0.0007118907,0.00008415947,0.000566904,0.03124525,0.0002263982,0.01129146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1153861,"threshold_uncertainty_score":0.2321312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09891054699705258,"score_gpt":0.4266462095964982,"score_spread":0.3277356625994456,"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."}}