{"id":"W2913577524","doi":"10.1161/str.50.suppl_1.wp308","title":"Abstract WP308: BEMI (Brain Emergency Management Initiative) for Optimizing Hub-EMS-Spoke Transfer Networks","year":2019,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"","keywords":"Medicine; Spoke-hub distribution paradigm; Embolectomy; Stroke (engine); Groin; Emergency department; Emergency medicine; Triage; Internal medicine; Surgery","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":[0.01182904,0.0007954331,0.0005894178,0.0008279024,0.0005661165,0.00250432,0.001174527,0.001155365,0.01033706],"category_scores_gemma":[0.03221329,0.0001619859,0.0008167773,0.0007520309,0.0003364958,0.001050994,0.002103274,0.0009791623,0.001471914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002670424,"about_ca_system_score_gemma":0.008418994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003162571,"about_ca_topic_score_gemma":0.003749862,"domain_scores_codex":[0.9958394,0.002584066,0.0002976788,0.0002290125,0.000746245,0.0003035923],"domain_scores_gemma":[0.9902384,0.003143881,0.002314431,0.0003502117,0.001887818,0.002065305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01991001,0.009534276,0.2700048,0.002671373,0.0008210734,0.0003799813,0.0004084329,0.02371062,0.002481668,0.005823763,0.1029716,0.5612823],"study_design_scores_gemma":[0.01573162,0.06366588,0.7276492,0.003864231,0.001934313,0.000682406,0.001400897,0.1024992,0.008403167,0.006064185,0.06791578,0.0001890657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8503383,0.005841509,0.03002901,0.02687876,0.001510127,0.02063741,0.01215167,0.001369924,0.05124336],"genre_scores_gemma":[0.8855566,0.001879034,0.08415803,0.002643919,0.0006905036,0.01261364,0.008548182,0.0002025206,0.003707596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01182904,"threshold_uncertainty_score":0.06255865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02005587201554395,"score_gpt":0.2725483569270755,"score_spread":0.2524924849115316,"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."}}