{"id":"W4283456180","doi":"10.1017/cjn.2022.152","title":"P.051 Stroke Care and Neurological Emergency Response Simulation (SCaNERS): High-fidelity acute stroke simulation increases learner confidence in providing acute stroke care","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatoon Medical Imaging","funders":"","keywords":"Debriefing; Stroke (engine); Medicine; Neurology; Fidelity; Confidence interval; Thrombolysis; Session (web analytics); Acute stroke; Physical therapy; Cognition; Physical medicine and rehabilitation; Psychology; Emergency department; Nursing; Medical education; Computer science; Internal medicine; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.00286635,0.0003265622,0.0003277383,0.0003404633,0.000764158,0.001607219,0.0007567281,0.000536271,0.06549729],"category_scores_gemma":[0.01415613,0.000179071,0.0004503862,0.0004515503,0.0005092499,0.0006331698,0.001314856,0.001301326,0.004643328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001401059,"about_ca_system_score_gemma":0.003495405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008373129,"about_ca_topic_score_gemma":0.007952709,"domain_scores_codex":[0.99737,0.0009026461,0.0001250254,0.0001935472,0.001046055,0.0003626429],"domain_scores_gemma":[0.9904059,0.004290469,0.0009646755,0.0003319654,0.002697795,0.001309218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01378093,0.008766407,0.4166239,0.00203375,0.0007642724,0.0005717706,0.003373741,0.00197052,0.009962622,0.003303828,0.06953537,0.4693129],"study_design_scores_gemma":[0.001009293,0.008991719,0.9239919,0.000570382,0.0004087428,0.0005541571,0.004075087,0.004955157,0.00840947,0.001958927,0.0450328,0.0000423951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8917704,0.0005901902,0.005122948,0.004500267,0.0008146672,0.00119671,0.00319722,0.0003521229,0.09245546],"genre_scores_gemma":[0.9627962,0.0003567971,0.006478023,0.0004631187,0.00008279502,0.001097208,0.000853062,0.00008549167,0.02778739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06549729,"threshold_uncertainty_score":0.2191103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04341361688950064,"score_gpt":0.3470848433675691,"score_spread":0.3036712264780685,"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."}}