{"id":"W4387236346","doi":"10.14740/jnr745","title":"Seasonal Variation in Ischemic Stroke Hospitalization: Results From a Large Health System in Six Western States of the United States","year":2023,"lang":"en","type":"article","venue":"Journal of Neurology Research","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Gee; Stroke (engine); Observational study; Seasonality; Ischemic stroke; Population; Demography; Emergency medicine; Names of the days of the week; Generalized estimating equation; Pediatrics; Internal medicine; Environmental health; Statistics; Ischemia","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001829825,0.0003192368,0.0004110505,0.001558522,0.0005818204,0.0007192879,0.0005715716,0.0003200577,0.0008470971],"category_scores_gemma":[0.0035206,0.0003113054,0.0007026785,0.003636422,0.0004014273,0.00082924,0.001178732,0.0004223309,0.0001540675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007064961,"about_ca_system_score_gemma":0.0009192374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05654052,"about_ca_topic_score_gemma":0.08904818,"domain_scores_codex":[0.9989033,0.0003148716,0.0002318328,0.0002371059,0.0001774637,0.000135465],"domain_scores_gemma":[0.9966102,0.0006468638,0.001637628,0.0002883358,0.0004376801,0.0003792298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003304358,0.00001514969,0.9987686,0.00001499673,0.00006288007,0.00002169383,0.0001482012,0.00004796789,0.00003931443,0.000007659126,0.0002089329,0.0006314681],"study_design_scores_gemma":[0.000003289113,0.00001878302,0.9991809,0.000008954321,0.00002643899,0.00004062955,0.0004495376,0.0001441075,0.00001932033,0.000008233867,0.00009737271,0.00000247422],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963258,0.0001789537,0.0001402577,0.00006221951,0.000005926705,0.00002176398,0.002938456,0.00001153515,0.0003150926],"genre_scores_gemma":[0.9973037,0.0001215317,0.0001640457,0.00004451493,0.000008155352,0.00003164176,0.002266434,0.000005126572,0.00005478679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05654052,"threshold_uncertainty_score":0.1124228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08925482270550056,"score_gpt":0.3822923994287169,"score_spread":0.2930375767232163,"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."}}