{"id":"W3120366962","doi":"10.1016/s1474-4422(20)30488-9","title":"Optimising prehospital stroke triage in a changing landscape","year":2021,"lang":"en","type":"letter","venue":"The Lancet Neurology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Stroke (engine); Triage; Endovascular treatment; Scopus; Observational study; Emergency medicine; Acute stroke; Ischemic stroke; MEDLINE; Emergency department; Internal medicine; Surgery; Ischemia; Aneurysm","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0004395693,0.0003292043,0.001030068,0.0004970259,0.0000489087,0.00003575105,0.0004472275,0.0005449755,0.0002837077],"category_scores_gemma":[0.0001717436,0.0002455051,0.0001693453,0.0004154052,0.00008481574,0.00002974363,0.0004772791,0.003427139,0.00004356725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003624843,"about_ca_system_score_gemma":0.00006017619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009716797,"about_ca_topic_score_gemma":0.000002817469,"domain_scores_codex":[0.99756,0.0002407744,0.0003431183,0.0005796093,0.0003495547,0.0009269254],"domain_scores_gemma":[0.9984406,0.0003149409,0.0001790806,0.0009952178,0.00003432346,0.00003589028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002205232,0.00002213747,0.002178776,0.0001640303,0.0001448728,0.009117295,0.0002536513,0.0000236208,0.0001511953,0.000008783706,0.9872255,0.0004895973],"study_design_scores_gemma":[0.002751096,0.0002575201,0.001656649,0.0001069497,0.000213834,0.0005929593,0.0000486205,0.0005256085,0.00009528637,0.000009618117,0.9935273,0.0002145786],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.07445038,0.0008578957,0.00006211201,0.8905338,0.0008434258,0.0006447444,0.00003332883,0.0001003726,0.03247392],"genre_scores_gemma":[0.01529454,0.0002371702,0.0002787647,0.9617659,0.01184187,0.00009721588,0.0002961268,0.00009301869,0.01009538],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0712321,"threshold_uncertainty_score":0.9999997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02908580178858434,"score_gpt":0.2626923932819537,"score_spread":0.2336065914933694,"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."}}