{"id":"W2952218579","doi":"10.1016/j.jstrokecerebrovasdis.2019.05.032","title":"Meteorological Factors and Seasonal Stroke Rates: A Four-year Comprehensive Study","year":2019,"lang":"en","type":"article","venue":"Journal of Stroke and Cerebrovascular Diseases","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Relative humidity; Medicine; Stroke (engine); Relative risk; Incidence (geometry); Hematocrit; Internal medicine; Intracerebral hemorrhage; Subarachnoid hemorrhage; Meteorology","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":[0.001008187,0.0007239514,0.0009627004,0.001444973,0.001158344,0.0006527624,0.0006851961,0.0009271888,0.000811917],"category_scores_gemma":[0.001074942,0.0008160752,0.001917886,0.002823879,0.0004338484,0.001179099,0.001166771,0.0007615301,0.0002630587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008702012,"about_ca_system_score_gemma":0.001003488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08517325,"about_ca_topic_score_gemma":0.1038485,"domain_scores_codex":[0.9993646,0.0001461688,0.00007288518,0.0001807638,0.00007246634,0.0001631968],"domain_scores_gemma":[0.9989921,0.0001224679,0.0002461236,0.0001813947,0.0001633357,0.0002944919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003142798,0.0001831044,0.996713,0.00001373107,0.0004425129,0.000103348,0.0003008354,0.0001274602,0.0003889537,0.000008416564,0.0001982283,0.001206131],"study_design_scores_gemma":[0.000005233398,0.00008780502,0.9993863,0.000001824764,0.00006659201,0.00004215306,0.0002221879,0.00006482696,0.00002157543,0.000002805375,0.00009430764,0.000004307258],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986874,0.0001274765,0.00008537501,0.00001906452,0.000003814165,0.00001263694,0.0009216022,0.000005936331,0.0001366131],"genre_scores_gemma":[0.9971616,0.0001805587,0.0001724318,0.00002840939,0.00001141229,0.00002832261,0.002016462,0.000006843648,0.0003939322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08517325,"threshold_uncertainty_score":0.169355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03403798414579905,"score_gpt":0.2762213341607448,"score_spread":0.2421833500149457,"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."}}