{"id":"W4386084107","doi":"10.1177/15910199231196614","title":"Influence of geography, stroke timing, and weather conditions on transport and workflow times: Results from a longitudinal 5-year Canadian provincial registry","year":2023,"lang":"en","type":"article","venue":"Interventional Neuroradiology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Calgary; University of Saskatchewan","funders":"","keywords":"Medicine; Stroke (engine); Ischemic stroke; Arrival time; Population; Demography; Modified Rankin Scale; Internal medicine; Emergency medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.002274285,0.0007113839,0.0006846455,0.002590925,0.003134513,0.001926721,0.002291981,0.0005260176,0.002232951],"category_scores_gemma":[0.005630871,0.0006891257,0.001443716,0.009293737,0.0008748036,0.000723589,0.00204389,0.0009658515,0.0004599816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02827611,"about_ca_system_score_gemma":0.05969853,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940717,"about_ca_topic_score_gemma":0.9963418,"domain_scores_codex":[0.9971744,0.0002525199,0.0003380466,0.0005014956,0.0008845011,0.0008489814],"domain_scores_gemma":[0.9904044,0.0006198781,0.001930133,0.0006616253,0.005151466,0.001232586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006242871,0.00001845201,0.9962153,0.00004085843,0.0001035763,0.00003528602,0.0003420764,0.0001421652,0.00005391194,0.00005092382,0.001365277,0.001569808],"study_design_scores_gemma":[0.00001565053,0.00001832191,0.9973623,0.0000445703,0.00006440798,0.00004075031,0.0009018776,0.0004503741,0.00005095407,0.00002301291,0.001008649,0.00001903524],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9655603,0.0007224459,0.000551948,0.0003973536,0.00002658148,0.0001595151,0.03022897,0.00003594372,0.002316949],"genre_scores_gemma":[0.9852267,0.0005789252,0.000684579,0.0001858755,0.0000110542,0.0001370949,0.01236868,0.00002089269,0.0007861929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02827611,"threshold_uncertainty_score":0.2051585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01861135764533644,"score_gpt":0.2708687948690251,"score_spread":0.2522574372236887,"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."}}