{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001647558,0.0002719779,0.0003668889,0.0003264916,0.0001540346,0.00001190754,0.000132578,0.0001358275,0.00043683],"category_scores_gemma":[0.0001496424,0.000284178,0.0001525234,0.0005872389,0.00002722722,0.000342713,0.00005363435,0.0004705361,0.00002677888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007712112,"about_ca_system_score_gemma":0.0002445441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008395182,"about_ca_topic_score_gemma":0.0005496362,"domain_scores_codex":[0.9973626,0.00007537132,0.0009718633,0.0005001503,0.0005506479,0.0005393643],"domain_scores_gemma":[0.9989238,0.00007432403,0.0001587211,0.0004305296,0.0001954275,0.000217166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000193958,0.0001482376,0.8889701,0.0003169974,0.00001247618,0.00001431539,0.0450605,0.05856147,0.00004162711,0.00001056192,0.00004807111,0.006796233],"study_design_scores_gemma":[0.00148177,0.0002100525,0.9494172,0.0009358936,0.00002847007,0.000001504049,0.02034742,0.0265994,0.0004414121,0.00001564789,0.0001704882,0.0003507699],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932455,0.003552618,0.000003084903,0.0006098034,0.0008376737,0.001161432,0.000007529304,0.00009177648,0.0004905409],"genre_scores_gemma":[0.9988521,0.0000354759,0.0002690555,0.0001236526,0.0002820762,0.0001907967,0.0001280942,0.00004926139,0.00006949977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06044707,"threshold_uncertainty_score":0.999961,"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."}}