{"id":"W2912983601","doi":"10.1161/str.50.suppl_1.tp308","title":"Abstract TP308: Predictive model for Stroke Mimics during Code Stroke Evaluation","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":"Kimberly-Clark (Canada)","funders":"","keywords":"Medicine; Stroke (engine); Thrombolysis; Retrospective cohort study; Cohort; Presentation (obstetrics); Atrial fibrillation; Pediatrics; Diagnosis code; Internal medicine; Surgery; Population; Myocardial infarction","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":[0.005135168,0.001459062,0.00109445,0.001858095,0.0005363342,0.00180395,0.00139109,0.001011296,0.006064781],"category_scores_gemma":[0.01287353,0.0004864485,0.001871867,0.0007615812,0.0003872287,0.0006324352,0.0008773081,0.00152897,0.001556887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00080317,"about_ca_system_score_gemma":0.001362039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01992987,"about_ca_topic_score_gemma":0.005882552,"domain_scores_codex":[0.998247,0.0009641913,0.00008692809,0.0003588253,0.0001464697,0.0001966631],"domain_scores_gemma":[0.9906003,0.007115801,0.0005896142,0.0004023291,0.0009627555,0.0003290687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002841868,0.0005074855,0.5690685,0.0001431002,0.0007680783,0.0009444614,0.0002226262,0.3587207,0.0009149775,0.001849737,0.007194765,0.05682363],"study_design_scores_gemma":[0.00006246186,0.0002461509,0.02541683,0.0000386177,0.0001719369,0.0002694337,0.00006452432,0.9711982,0.0002192234,0.001751549,0.0005361437,0.00002495951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8898985,0.0006226338,0.0968407,0.001870836,0.0002151609,0.000488445,0.006054677,0.00101301,0.002995983],"genre_scores_gemma":[0.9888142,0.00009696118,0.006906874,0.00006666281,0.00005565204,0.0001327972,0.002799202,0.00004067841,0.001086972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01992987,"threshold_uncertainty_score":0.03962773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02877535445213415,"score_gpt":0.2994056811279423,"score_spread":0.2706303266758082,"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."}}