{"id":"W4387032900","doi":"10.1007/s43678-023-00586-z","title":"Cognitive load theory in action: e-learning modules improve performance in simulation-based education. A pilot study","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kingston General Hospital; University of Toronto; Queen's University; Kingston Health Sciences Centre","funders":"","keywords":"Cognitive load; Curriculum; Cognition; Descriptive statistics; Medicine; Objective structured clinical examination; Medical education; Computer science; Psychology; Simulation; Pedagogy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001903745,0.0001774792,0.0003773156,0.001779665,0.0001425602,0.00000472158,0.0001147359,0.00006073111,0.002292501],"category_scores_gemma":[0.003726335,0.0001644798,0.00004379559,0.001975438,0.00006959782,0.0001720032,0.000004335585,0.0006559051,0.00003482827],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009761651,"about_ca_system_score_gemma":0.007701624,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008361926,"about_ca_topic_score_gemma":0.01409579,"domain_scores_codex":[0.9975709,0.0002764762,0.001106627,0.0002247401,0.0004617714,0.0003595167],"domain_scores_gemma":[0.9964418,0.0008148514,0.0003787741,0.0001812472,0.001597746,0.0005856023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003509641,0.0002275893,0.9344872,0.0001564069,0.00002790598,0.00003436913,0.007145228,0.04975637,0.00002900413,0.00002386603,0.0003516559,0.007409397],"study_design_scores_gemma":[0.002750021,0.002631948,0.9346809,0.001049427,0.00006933147,0.000003300265,0.03077107,0.02727909,0.00001128432,0.0001612133,0.000453762,0.0001386272],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904979,0.0006026374,0.00008364068,0.002350522,0.00509878,0.0007417383,0.000002765449,0.00001744306,0.0006045357],"genre_scores_gemma":[0.9976091,0.00006052733,0.0000226893,0.0002353142,0.001023922,0.0000490258,0.00003259442,0.00003164819,0.000935123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02362584,"threshold_uncertainty_score":0.9986196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1563325726767332,"score_gpt":0.4329672967843737,"score_spread":0.2766347241076405,"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."}}