{"id":"W3021402627","doi":"10.1161/strokeaha.119.028474","title":"In What Scenarios Does a Mobile Stroke Unit Predict Better Patient Outcomes?","year":2020,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Dalhousie University; Sunnybrook Hospital; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Thrombolysis; 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":[0.004022724,0.0005122183,0.0006042548,0.0007849101,0.0003719972,0.001496457,0.0006241965,0.001298127,0.004494465],"category_scores_gemma":[0.02208615,0.0002300897,0.0010188,0.0006466216,0.0005272392,0.001011456,0.0007033095,0.0007549184,0.0005111349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001151241,"about_ca_system_score_gemma":0.001047838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005405016,"about_ca_topic_score_gemma":0.005477563,"domain_scores_codex":[0.9979398,0.0009864294,0.0001149294,0.0004673318,0.0001719647,0.0003195447],"domain_scores_gemma":[0.9875536,0.008640762,0.002125949,0.000446934,0.0005306542,0.0007020375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001219475,0.0001817705,0.8773912,0.00007603396,0.0002465133,0.0005241613,0.000101153,0.1091938,0.0002777273,0.001124607,0.001807691,0.007855957],"study_design_scores_gemma":[0.0001761964,0.001096912,0.3547647,0.0001066231,0.0003790188,0.001290304,0.001205521,0.6244309,0.001137817,0.01377926,0.001548961,0.00008387135],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891717,0.0002044978,0.00501206,0.001573534,0.00005308649,0.00007897795,0.002279422,0.00004702933,0.001579765],"genre_scores_gemma":[0.9986414,0.0000342139,0.000720223,0.00005972031,0.000009576397,0.00001975733,0.0004196293,0.000003494874,0.00009200441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005405016,"threshold_uncertainty_score":0.02127445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01306355516031833,"score_gpt":0.2533300121815453,"score_spread":0.240266457021227,"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."}}