{"id":"W2587948330","doi":"10.1503/cmaj.161064","title":"Association between quantity and duration of snowfall and risk of myocardial infarction","year":2017,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; BC Centre for Disease Control; McGill University Health Centre","funders":"","keywords":"Medicine; Snow; Confidence interval; Myocardial infarction; Odds ratio; Demography; Odds; Internal medicine; Logistic regression; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0006776788,0.0002180781,0.0002375716,0.0008251073,0.0003679456,0.0005031902,0.0004030446,0.0002658795,0.001434046],"category_scores_gemma":[0.003301057,0.0001389383,0.0003827353,0.001163127,0.0002785794,0.000218047,0.0003014444,0.0002540253,0.00007822635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001213572,"about_ca_system_score_gemma":0.001001435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1878971,"about_ca_topic_score_gemma":0.2625946,"domain_scores_codex":[0.9994332,0.0001572882,0.00005479241,0.0001064819,0.0001521213,0.00009605021],"domain_scores_gemma":[0.9971643,0.000419561,0.001480403,0.0001447427,0.0004165285,0.000374373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009124365,0.000009032364,0.9987059,0.00001451996,0.0001165521,0.00002397426,0.00002323546,0.00007781251,0.0001053738,0.000008945593,0.00007869265,0.0007448237],"study_design_scores_gemma":[0.000001454729,0.00001392004,0.9997563,0.00000433276,0.00001457541,0.00001970071,0.00002305607,0.00009722533,0.00000851757,0.000009374501,0.00005056925,0.000001074686],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973286,0.0006952038,0.0001700324,0.00007322284,0.000008735618,0.00001165222,0.001275638,0.000006712173,0.0004300975],"genre_scores_gemma":[0.9990639,0.0001465884,0.0001115122,0.00001340594,0.00001172836,0.000006322785,0.0005541305,0.00000135275,0.00009109548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1878971,"threshold_uncertainty_score":0.3736068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02237654833618051,"score_gpt":0.2811624176438665,"score_spread":0.2587858693076859,"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."}}