{"id":"W2592378344","doi":"10.1007/s00198-017-3986-3","title":"Economic evaluation of a population-based osteoporosis intervention for outpatients with non-traumatic non-hip fractures: the “Catch a Break” 1i [type C] FLS","year":2017,"lang":"en","type":"article","venue":"Osteoporosis International","topic":"Hip and Femur Fractures","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta","funders":"University of Alberta; Canadian Institutes of Health Research; Alberta Innovates; Alberta Innovates - Health Solutions","keywords":"Medicine; Osteoporosis; Population; Economic evaluation; Physical therapy; Cost effectiveness; Quality-adjusted life year; Orthopedic surgery; Hip fracture; Emergency medicine; Internal medicine; Surgery; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0009004829,0.0002501553,0.0003741816,0.0001846451,0.000318667,0.0001450706,0.0004694864,0.0001435162,0.0005117409],"category_scores_gemma":[0.0004470971,0.0001734324,0.0002690803,0.00005012614,0.0001107089,0.0003008777,0.00004979848,0.000163609,0.00002749896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003693932,"about_ca_system_score_gemma":0.0002023558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001658636,"about_ca_topic_score_gemma":0.001044691,"domain_scores_codex":[0.9979012,0.00005521256,0.0006348775,0.0003762449,0.0008165005,0.0002159402],"domain_scores_gemma":[0.9971007,0.0002021145,0.001024293,0.00075112,0.0008355984,0.00008621896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00425577,0.001342831,0.9062425,0.0005980261,0.001197187,0.000002772817,0.006316107,0.004929643,0.002979492,0.00009114195,0.004031179,0.06801334],"study_design_scores_gemma":[0.009292653,0.0009702088,0.9371569,0.0009440771,0.0007947909,0.00001026088,0.000728741,0.03865838,0.01027963,0.0003959725,0.0005084552,0.0002599322],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929345,0.00003482272,0.00096934,0.001916131,0.001034805,0.001718722,0.0001381133,0.00002082058,0.001232718],"genre_scores_gemma":[0.9962156,0.00000428898,0.001290654,0.0004121018,0.0002833646,0.0003100047,0.001216848,0.00004256336,0.0002245964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0677534,"threshold_uncertainty_score":0.707237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02952684653758431,"score_gpt":0.3561784830992178,"score_spread":0.3266516365616335,"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."}}