{"id":"W2470746831","doi":"10.1097/sih.0000000000000097","title":"Cognitive Load Theory for the Design of Medical Simulations","year":2015,"lang":"en","type":"article","venue":"Simulation in Healthcare The Journal of the Society for Simulation in Healthcare","topic":"Visual and Cognitive Learning Processes","field":"Psychology","cited_by":282,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Cognitive load; Computer science; Cognition; Cognitive architecture; Focus (optics); Instructional design; Human–computer interaction; Management science; Cognitive science; Multimedia; Psychology; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.01134395,0.0002434748,0.0004727166,0.0001191332,0.0005004894,0.00002622717,0.0006734799,0.0004181369,0.00003851057],"category_scores_gemma":[0.007804275,0.0001405042,0.0005211062,0.0009243054,0.0002887122,0.000198138,0.00007508614,0.0009795392,0.000002203524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004034015,"about_ca_system_score_gemma":0.001513552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006256042,"about_ca_topic_score_gemma":0.0002975157,"domain_scores_codex":[0.9941542,0.002287233,0.001596266,0.0002479478,0.001244583,0.0004697766],"domain_scores_gemma":[0.9611732,0.03290939,0.001488358,0.0003334134,0.00392104,0.0001745978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002776607,0.0001342258,0.01820445,0.0002608319,0.000136805,4.057005e-7,0.02566119,0.9358334,9.34692e-7,0.003713614,0.0001411187,0.01313645],"study_design_scores_gemma":[0.006005847,0.0009974425,0.02160384,0.0007936928,0.0001859867,0.000009936663,0.02322332,0.8834968,0.00001155715,0.06265065,0.000791445,0.0002294352],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2366512,0.0138587,0.6168791,0.1194224,0.003790933,0.009019506,0.0002953512,0.00005519002,0.0000275704],"genre_scores_gemma":[0.9960847,0.00008184592,0.0002297615,0.00290812,0.0004504152,0.00009527727,0.00001266739,0.00004446578,0.00009271063],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7594335,"threshold_uncertainty_score":0.934301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1911573203256185,"score_gpt":0.490769901086975,"score_spread":0.2996125807613566,"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."}}