{"id":"W3134150418","doi":"10.1016/j.injury.2021.02.076","title":"FROST: Factors Predicting Orthopaedic Trauma Volumes","year":2021,"lang":"en","type":"article","venue":"Injury","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Research Canada; Arthritis Research Centre of Canada; University of Calgary","funders":"Cumming School of Medicine, University of Calgary; Department of Surgery; Canadian Orthopaedic Foundation; University of Calgary","keywords":"Medicine; Orthopedic surgery; Poisson regression; Snow; Ankle; Surgery; Meteorology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001250361,0.00009953626,0.0001173272,0.00001808244,0.0001590653,0.00002867813,0.00009013384,0.00006730486,0.009026301],"category_scores_gemma":[0.0001172382,0.00009078466,0.00005347615,0.0001858073,0.00005527405,0.0001663452,0.0001229149,0.0001340028,0.000627022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009612894,"about_ca_system_score_gemma":0.0000148484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002475105,"about_ca_topic_score_gemma":0.0003267739,"domain_scores_codex":[0.9989937,0.00003227744,0.0001720415,0.0002256323,0.0002294095,0.0003469384],"domain_scores_gemma":[0.9994938,0.00005008125,0.00005060306,0.0001954818,0.000006503963,0.0002035142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007881401,0.00004312595,0.9299001,0.00001339794,0.000003016931,0.00002478671,0.001201292,0.000003848938,0.00362127,0.00000458711,0.02080269,0.04437406],"study_design_scores_gemma":[0.000216251,0.00009937966,0.949654,0.00004853639,0.00001301649,0.00001197522,0.0009136065,0.0001760848,0.01024342,0.0002291605,0.03820724,0.0001872753],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862433,0.0001441567,0.00001061722,0.0005468316,0.0003577557,0.00007427591,0.00005925383,0.0000702546,0.01249355],"genre_scores_gemma":[0.9976257,0.0000889852,0.0001330828,0.0009244682,0.0001463452,0.000005192831,0.00003298678,0.00001454051,0.00102867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04418679,"threshold_uncertainty_score":0.9918796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04268476150204671,"score_gpt":0.3035021721415278,"score_spread":0.2608174106394811,"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."}}