{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003532218,0.0003228536,0.0001549231,0.001247879,0.0005067424,0.000906996,0.0005020787,0.0008224616,0.009909276],"category_scores_gemma":[0.003948113,0.0001551549,0.0006342149,0.001022941,0.0003044385,0.0005495038,0.0006801666,0.0007251045,0.0009828026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005745068,"about_ca_system_score_gemma":0.000886798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03207318,"about_ca_topic_score_gemma":0.05277493,"domain_scores_codex":[0.99981,0.00003309226,0.00002122794,0.00002511709,0.00004922778,0.00006137227],"domain_scores_gemma":[0.9980382,0.0004232616,0.0007770672,0.00006980617,0.0001493169,0.0005423298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004007915,0.00003036565,0.9970731,0.000007997045,0.0000238531,0.00005648627,0.00003522208,0.0003371338,0.00008709763,0.00003235016,0.0004470228,0.001829364],"study_design_scores_gemma":[0.000002572662,0.00003909593,0.9976682,0.00001029101,0.00001540421,0.0001657019,0.0003136879,0.0009098974,0.00005377131,0.00008125764,0.0007361803,0.000003876171],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937924,0.0002923916,0.0002500174,0.0006453262,0.00004679779,0.00001279866,0.001927867,0.00002956491,0.003002846],"genre_scores_gemma":[0.9981453,0.0001146225,0.0001294943,0.00003391723,0.0000560999,0.000003931078,0.0006670483,0.00001048782,0.0008391389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03207318,"threshold_uncertainty_score":0.06377298,"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."}}