{"id":"W2131840547","doi":"10.1161/jaha.115.002099","title":"Racial/Ethnic and Sex Differences in Emergency Medical Services Transport Among Hospitalized US Stroke Patients: Analysis of the National Get With The Guidelines–Stroke Registry","year":2015,"lang":"en","type":"article","venue":"Journal of the American Heart Association","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"","keywords":"Medicine; Stroke (engine); Ethnic group; Emergency medical services; Odds ratio; Logistic regression; Odds; Confounding; Demography; Emergency medicine; Internal medicine","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":[0.001942864,0.0002350193,0.0004389689,0.001180009,0.0003478855,0.0006907788,0.0005057594,0.0003517885,0.0009482368],"category_scores_gemma":[0.004161882,0.0003057232,0.0006712635,0.002217238,0.0002095524,0.0006759739,0.0006685554,0.0004708006,0.0002390137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003174924,"about_ca_system_score_gemma":0.0004621097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007141125,"about_ca_topic_score_gemma":0.01129774,"domain_scores_codex":[0.9985751,0.0004372103,0.0002978363,0.0002708489,0.0002616295,0.0001573348],"domain_scores_gemma":[0.9968227,0.000456381,0.001772468,0.0003497893,0.0003557499,0.000242809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003773625,0.00001136174,0.9994227,0.00000275757,0.0000419034,0.0000136018,0.00003314645,0.00001631669,0.00002646461,0.000008569021,0.0001020353,0.0002835087],"study_design_scores_gemma":[0.000005165435,0.00001906539,0.9994697,0.000003669345,0.00002158213,0.00007721173,0.0001380369,0.0001392105,0.00002232576,0.000009929724,0.0000917512,0.000002340626],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977462,0.0001010854,0.00008441925,0.00004971639,0.000005721849,0.00001473119,0.001639706,0.000004377665,0.000353934],"genre_scores_gemma":[0.9974106,0.00009429883,0.0001105248,0.00004737164,0.00001128542,0.00003435426,0.002207515,0.000005851471,0.00007812609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007141125,"threshold_uncertainty_score":0.01419908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01795427255923549,"score_gpt":0.299778556850686,"score_spread":0.2818242842914505,"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."}}