{"id":"W2091752556","doi":"10.1016/j.jocd.2013.09.015","title":"Of Fracture Thresholds and Bone Mineral Density Reference Data: Does One Size Really Fit All?","year":2013,"lang":"en","type":"article","venue":"Journal of Clinical Densitometry","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; University of Alberta","funders":"","keywords":"Medicine; Bone mineral; Osteoporosis; Body mass index; Bone density; Demography; Internal medicine","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":[0.1713379,0.00384332,0.01342684,0.004672429,0.001587529,0.005896788,0.007887998,0.007306021,0.005939554],"category_scores_gemma":[0.4285861,0.001882005,0.007908507,0.00424202,0.006076459,0.0169572,0.005572566,0.01007738,0.002566107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001505108,"about_ca_system_score_gemma":0.003455577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003847307,"about_ca_topic_score_gemma":0.00589101,"domain_scores_codex":[0.9028095,0.06023117,0.009386953,0.006479923,0.01967669,0.001415795],"domain_scores_gemma":[0.5113467,0.3989721,0.02050769,0.03697778,0.02856255,0.003633183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007593742,0.0007024684,0.4035676,0.003448835,0.01983784,0.001015268,0.002607515,0.004620715,0.001356615,0.01612891,0.06369022,0.4754303],"study_design_scores_gemma":[0.003902882,0.007696343,0.3533463,0.0104228,0.02612516,0.01388746,0.01186035,0.08401725,0.003668394,0.3810677,0.1022739,0.001731527],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.2929462,0.1715335,0.2020069,0.2560554,0.02740826,0.001054206,0.008521074,0.002505758,0.03796887],"genre_scores_gemma":[0.8856745,0.01200198,0.0570454,0.02943139,0.008956672,0.0005155765,0.00297853,0.001249804,0.002146063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1713379,"threshold_uncertainty_score":0.9061323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1670942416432051,"score_gpt":0.4656276439663592,"score_spread":0.2985334023231541,"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."}}