{"id":"W1506783324","doi":"10.1002/jbmr.2359","title":"Rates of and Risk Factors for Trabecular and Cortical BMD Loss in Middle-Aged and Elderly African-Ancestry Men","year":2014,"lang":"en","type":"article","venue":"Journal of Bone and Mineral Research","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Cancer Institute","keywords":"Medicine; Quantitative computed tomography; Internal medicine; Bone mineral; Tibia; Bone density; Endocrinology; Osteoporosis; Surgery","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":[0.0005040545,0.0001884967,0.0002138574,0.00088232,0.0002735531,0.0003228148,0.0002877465,0.0004519853,0.0007294978],"category_scores_gemma":[0.002064457,0.000280374,0.0002539031,0.0007670814,0.0002572325,0.0003605933,0.0002970791,0.000325997,0.0001435056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001783871,"about_ca_system_score_gemma":0.0001168467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009317431,"about_ca_topic_score_gemma":0.005898459,"domain_scores_codex":[0.9997683,0.00005970708,0.00002878168,0.00005951175,0.00004411156,0.00003964511],"domain_scores_gemma":[0.9993094,0.0001122696,0.0003757686,0.00006098055,0.00005440746,0.0000871249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008130375,0.000009711329,0.9986381,0.000003931204,0.0000202874,0.00003172316,0.00006444205,0.00002638391,0.0001491747,0.00000989025,0.0000273873,0.0009377484],"study_design_scores_gemma":[0.000001524193,0.00002144412,0.9996674,0.000001769002,0.000007495831,0.0000971203,0.00004915888,0.00008413009,0.00002048026,0.00001051097,0.00003771947,0.000001118324],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991308,0.0004943888,0.00004413497,0.00002681605,0.000002138605,0.000002405723,0.0001372918,0.000003190702,0.0001588429],"genre_scores_gemma":[0.9995456,0.0001508743,0.00005877689,0.00001098396,0.000005413332,0.00000287444,0.0001259825,8.481534e-7,0.00009853204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009317431,"threshold_uncertainty_score":0.01852638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1114201238029971,"score_gpt":0.4147616449414148,"score_spread":0.3033415211384177,"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."}}