{"id":"W2945035670","doi":"10.1007/s11657-019-0598-x","title":"Predictors of imminent non-vertebral fracture in elderly women with osteoporosis, low bone mass, or a history of fracture, based on data from the population-based Canadian Multicentre Osteoporosis Study (CaMos)","year":2019,"lang":"en","type":"article","venue":"Archives of Osteoporosis","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of Manitoba; Memorial University of Newfoundland; Dalhousie University; University of Toronto; University of Alberta; McMaster University; Queen's University; McGill University Health Centre; McGill University; University of Calgary; University of Victoria","funders":"","keywords":"Medicine; Osteoporosis; Population; Physical therapy; Body mass index; Hazard ratio; Hip fracture; Internal medicine; Confidence interval","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000819826,0.0006799457,0.001742298,0.0009050178,0.0001100676,0.00002264261,0.001126265,0.0002981758,0.001367219],"category_scores_gemma":[0.0005011345,0.00045494,0.0002048329,0.0007180853,0.000369332,0.0002578032,0.0001451926,0.0009570974,0.00001466857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008256235,"about_ca_system_score_gemma":0.004846672,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.299874,"about_ca_topic_score_gemma":0.2145042,"domain_scores_codex":[0.9937097,0.0004655781,0.001729292,0.001194329,0.001754112,0.001147004],"domain_scores_gemma":[0.9925036,0.002109472,0.001088548,0.003197433,0.0002367877,0.0008641302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01099141,0.002325987,0.9650953,0.0009107753,0.0002287071,0.00004774663,0.01333614,0.001486787,0.002123589,4.981902e-7,0.00166925,0.001783738],"study_design_scores_gemma":[0.01499457,0.007769645,0.9536978,0.001494989,0.0002739929,0.00000226421,0.01155098,0.007237618,0.00133179,0.00000630599,0.001206257,0.0004337596],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910038,0.0003994986,0.00001267023,0.001629607,0.0002404416,0.004646795,0.001683112,0.00003168807,0.0003523935],"genre_scores_gemma":[0.9936525,0.0000482275,0.001569859,0.001640179,0.0000789356,0.0001739057,0.002379525,0.0001217673,0.0003351051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08536982,"threshold_uncertainty_score":0.9997903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01409397165639369,"score_gpt":0.2587279956231432,"score_spread":0.2446340239667495,"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."}}