{"id":"W1965178506","doi":"10.1161/strokeaha.108.545574","title":"Dispatcher Recognition of Stroke Using the National Academy Medical Priority Dispatch System","year":2009,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Medicine; Stroke (engine); Medical emergency; Emergency medicine; Emergency department; Acute stroke; Emergency medical services; Diagnosis code; Medical record; Surgery; Population","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007263715,0.0001751584,0.0003223586,0.0000934218,0.00008338722,0.00001272056,0.0002148931,0.0001968324,0.0001744593],"category_scores_gemma":[0.0002849259,0.0001228733,0.0001602282,0.0001701248,0.0001162687,0.00008601564,0.00008070395,0.000458552,0.00002187743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000254188,"about_ca_system_score_gemma":0.0001209346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003849226,"about_ca_topic_score_gemma":0.000001611178,"domain_scores_codex":[0.9973973,0.00007089823,0.0004555844,0.0002803551,0.001509974,0.0002858695],"domain_scores_gemma":[0.9992378,0.00009480312,0.0002024202,0.0001555956,0.0001611647,0.0001481618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002867589,0.00295708,0.2046789,0.002920617,0.003554318,0.0003796409,0.00272988,0.0001215604,0.4041803,0.008073012,0.1152764,0.2522607],"study_design_scores_gemma":[0.02004999,0.001636557,0.7101603,0.004896694,0.003575341,0.001654062,0.007940799,0.0577153,0.1391444,0.0005906367,0.05066596,0.001970029],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9528965,0.0001591765,0.003333689,0.00524135,0.0001852929,0.000662912,0.0001516567,0.0001017779,0.03726764],"genre_scores_gemma":[0.9950845,0.00002576282,0.002213987,0.001003742,0.0006235478,0.00001216466,0.00002715581,0.00001546282,0.0009937411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5054814,"threshold_uncertainty_score":0.501063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03869819315656568,"score_gpt":0.3187374469811756,"score_spread":0.2800392538246099,"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."}}