{"id":"W2085920386","doi":"10.1159/000054787","title":"Delay between Stroke Onset and Emergency Department Evaluation","year":2001,"lang":"en","type":"article","venue":"Neuroepidemiology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Stroke (engine); Emergency department; Demographics; Logistic regression; Presentation (obstetrics); Emergency medicine; Pediatrics; Internal medicine; Surgery; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001044487,0.0002589811,0.0003013524,0.0008476817,0.0003420014,0.0005014615,0.0005264668,0.000396929,0.005258515],"category_scores_gemma":[0.01113757,0.0001663759,0.0001454752,0.000670556,0.000210677,0.0005567566,0.0005894947,0.0006378219,0.0005450979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001083373,"about_ca_system_score_gemma":0.001625745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00886225,"about_ca_topic_score_gemma":0.008746095,"domain_scores_codex":[0.9990783,0.0002104808,0.0001668988,0.000157872,0.0001826106,0.000203979],"domain_scores_gemma":[0.9891505,0.00269474,0.005986857,0.0001470666,0.0007444123,0.001276535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004611379,0.0002189367,0.9699503,0.0001771369,0.00004183049,0.000372975,0.000172357,0.0002746721,0.0005165886,0.0001084678,0.002221336,0.0254842],"study_design_scores_gemma":[0.00003060439,0.00023334,0.995454,0.0001157061,0.00002549607,0.001501613,0.0001615778,0.0003759509,0.0002932234,0.00007198068,0.001727492,0.000008978225],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894592,0.002009144,0.0009609803,0.001393699,0.00009507443,0.00008407846,0.001151503,0.00007618171,0.004770145],"genre_scores_gemma":[0.9975465,0.0006280316,0.0003990885,0.0001984083,0.0001529595,0.00004936715,0.0007023871,0.000004730642,0.0003184519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00886225,"threshold_uncertainty_score":0.01762134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06529062669574191,"score_gpt":0.3580261392890179,"score_spread":0.292735512593276,"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."}}