{"id":"W2966781050","doi":"10.1007/s00198-019-05106-3","title":"Fracture prediction from self-reported falls in routine clinical practice: a registry-based cohort study","year":2019,"lang":"en","type":"article","venue":"Osteoporosis International","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; University of Manitoba","funders":"Engineering and Physical Sciences Research Council; Medical Research Council; Versus Arthritis","keywords":"Medicine; FRAX; Hip fracture; Hazard ratio; Osteoporosis; Confidence interval; Cohort; Population; Proportional hazards model; Cohort study; Physical therapy; Poison control; Bone mineral; Internal medicine; Demography; Osteoporotic fracture; Emergency 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":[0.002018466,0.0007527805,0.0009892017,0.001298529,0.001314777,0.001825484,0.001139977,0.001365005,0.00168198],"category_scores_gemma":[0.005043038,0.001348891,0.001858563,0.002844502,0.0005571911,0.001582408,0.00125131,0.00165428,0.0006661653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006771458,"about_ca_system_score_gemma":0.001240319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01829528,"about_ca_topic_score_gemma":0.02461063,"domain_scores_codex":[0.998026,0.0005842944,0.0002405927,0.000550498,0.0003198922,0.000278685],"domain_scores_gemma":[0.9962997,0.0005548561,0.001394502,0.0007390484,0.0005465504,0.0004653977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002574621,0.0001970218,0.9984535,0.000006445057,0.0001810486,0.00004300253,0.00008004547,0.00002955864,0.0000756029,0.00001399947,0.0001210085,0.0005412232],"study_design_scores_gemma":[0.00008133843,0.0002907297,0.9983889,0.00000785925,0.0001543927,0.0002057242,0.0003166443,0.0003766583,0.00003005051,0.00002356425,0.0001136062,0.00001063926],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988576,0.0001087025,0.0001019412,0.00003082534,0.0000085079,0.0000246871,0.0006336017,0.000006207925,0.0002280723],"genre_scores_gemma":[0.9986649,0.00009939044,0.0001988438,0.00003295031,0.000013248,0.00003882421,0.0007372922,0.000005148061,0.0002095759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01829528,"threshold_uncertainty_score":0.03637761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0241096687652946,"score_gpt":0.3887085695438532,"score_spread":0.3645989007785587,"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."}}