{"id":"W1969326925","doi":"10.1080/10903120500255255","title":"Paramedic Performance in Calculating Drug Dosages Following Stressful Scenarios in a Human Patient Simulator","year":2005,"lang":"en","type":"article","venue":"Prehospital Emergency Care","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":180,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Wilson Centre; University of Toronto","funders":"","keywords":"Stressor; Medicine; Dose; Univariate analysis; Stress (linguistics); Confidence interval; Emergency medicine; Medical emergency; Clinical psychology; Internal medicine; Multivariate analysis","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":[0.001673839,0.0005143949,0.0002850547,0.0002816052,0.0002444623,0.0006985808,0.0002807849,0.0004847853,0.001143239],"category_scores_gemma":[0.01271813,0.0001768756,0.0003750256,0.000123391,0.0004252152,0.0003046972,0.0007865682,0.0005011521,0.0004064588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003168218,"about_ca_system_score_gemma":0.0003849431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008340962,"about_ca_topic_score_gemma":0.0008839938,"domain_scores_codex":[0.9985597,0.0006185122,0.0001750569,0.0001958556,0.0003326748,0.0001181624],"domain_scores_gemma":[0.99415,0.002566335,0.001596456,0.0004520628,0.0006545983,0.0005805337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006980402,0.002676151,0.8243218,0.0005004908,0.0003698986,0.0004890101,0.00648387,0.004738776,0.0546542,0.0001085372,0.0006178328,0.0980591],"study_design_scores_gemma":[0.00007324196,0.01465639,0.9611725,0.00007656705,0.0001101609,0.0005528834,0.002579495,0.004314394,0.01543014,0.0001540458,0.0008153137,0.000064855],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993836,0.00003437193,0.0003135334,0.00001969634,0.000004941588,0.00001427376,0.00002412887,0.000007112678,0.0001984655],"genre_scores_gemma":[0.9990768,0.00005338062,0.0007186036,0.00001667266,0.000005168735,0.00001259705,0.00004137791,0.000002064565,0.00007330895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001673839,"threshold_uncertainty_score":0.008852184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01170862555854525,"score_gpt":0.3216924497843969,"score_spread":0.3099838242258516,"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."}}