{"id":"W2884729357","doi":"10.1503/cmaj.170999","title":"The mobile stroke unit and management of acute stroke in rural settings","year":2018,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Innovates; University of Alberta; Canadian Stroke Network; Alberta Health Services","keywords":"Medicine; Stroke (engine); Tissue plasminogen activator; Acute stroke; Computed tomography; Brain ischemia; Lesion; Ischemic stroke; Neuroimaging; Thrombolysis; Intensive care medicine; Radiology; Ischemia; Internal medicine; Surgery; Myocardial infarction","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002365252,0.000300883,0.0001940012,0.0006102619,0.001213844,0.0008825643,0.0005556443,0.0008985346,0.007399357],"category_scores_gemma":[0.002195645,0.0001208578,0.0001076485,0.0006248236,0.0004253133,0.0007744934,0.0008413727,0.00111326,0.0008262273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009038506,"about_ca_system_score_gemma":0.002487132,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007055439,"about_ca_topic_score_gemma":0.01460027,"domain_scores_codex":[0.999615,0.000116724,0.00003359414,0.00002882058,0.0000855143,0.0001203167],"domain_scores_gemma":[0.999194,0.00006009906,0.0001612172,0.000007614478,0.0001012417,0.000475926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003779249,0.001340954,0.3632879,0.001107792,0.00008794438,0.04619876,0.002972838,0.001250558,0.002465714,0.004567374,0.2154293,0.3609129],"study_design_scores_gemma":[0.000168785,0.002137489,0.7517528,0.004618909,0.00006440809,0.08381832,0.02528542,0.00223705,0.0005519053,0.01252971,0.1167024,0.0001327514],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.570216,0.06200927,0.003748433,0.2204479,0.003791313,0.0004264216,0.0006837017,0.0002036099,0.1384734],"genre_scores_gemma":[0.9453333,0.02933605,0.0032828,0.01016768,0.005143667,0.0001815413,0.0003337162,0.00002601705,0.006195243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9929445,"threshold_uncertainty_score":0.02475327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004716833676748944,"score_gpt":0.2437174328349678,"score_spread":0.2390005991582189,"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."}}