{"id":"W4306980358","doi":"10.1161/strokeaha.122.039825","title":"Evaluating the Diagnostic Performance of Prehospital Stroke Scales Across the Range of Deficit Severity: Analysis of the Prehospital Triage of Patients With Suspected Stroke Study","year":2022,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Triage; Stroke (engine); Predictive value; Emergency medical services; Severity of illness; Internal medicine; Emergency medicine; Cardiology","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":[0.003691134,0.0006050498,0.0006504305,0.001403428,0.0003040745,0.0007531957,0.000783198,0.0006512459,0.0005363845],"category_scores_gemma":[0.0161557,0.0003953972,0.0008745898,0.001078797,0.0005019095,0.0006531436,0.0009079765,0.0008103321,0.0001857666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004590637,"about_ca_system_score_gemma":0.0005200548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002716091,"about_ca_topic_score_gemma":0.002564719,"domain_scores_codex":[0.9968506,0.001674806,0.0004236741,0.0003940236,0.0004854104,0.0001715819],"domain_scores_gemma":[0.9867228,0.005694109,0.004590464,0.0009271607,0.001035684,0.001029701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002670452,0.0000327617,0.9987112,0.000008063013,0.00009702898,0.00003179294,0.00005604308,0.00008534139,0.0000593184,0.000007672115,0.00006846088,0.0005752156],"study_design_scores_gemma":[0.00004976441,0.0002849858,0.9979703,0.000004748411,0.00004465484,0.0001631602,0.0001367953,0.001181968,0.00005991748,0.00002706107,0.00007026848,0.000006397715],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993869,0.00007179992,0.0001322725,0.00003038258,0.000006340671,0.00003342885,0.000202513,0.000002592669,0.0001337952],"genre_scores_gemma":[0.9992558,0.00003560211,0.0001747626,0.00001350732,0.00001221964,0.00003895425,0.0004386366,0.000001755478,0.0000286987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003691134,"threshold_uncertainty_score":0.01952082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01426752676633901,"score_gpt":0.2841891252382304,"score_spread":0.2699215984718914,"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."}}