{"id":"W2974471683","doi":"10.36834/cmej.68093","title":"Managing cognitive load in simulations: exploring the role of simulation technologists","year":2019,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"Visual and Cognitive Learning Processes","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Cognitive load; Session (web analytics); Cognition; Computer science; Task (project management); Simulation; Psychology; Engineering; Systems engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0004556176,0.00007311851,0.0001015907,0.0002998548,0.00009933251,0.00002519345,0.0001815501,0.00009048568,0.01256878],"category_scores_gemma":[0.00551741,0.00005860689,0.00002807222,0.0004109665,0.00008680635,0.0001322384,0.00001115826,0.0005806424,0.0001598662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001424304,"about_ca_system_score_gemma":0.004916557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003552256,"about_ca_topic_score_gemma":0.005784462,"domain_scores_codex":[0.9989695,0.0001128143,0.0002592749,0.0001311337,0.0003088051,0.0002184978],"domain_scores_gemma":[0.9986612,0.0002856669,0.0001174328,0.00008697529,0.0003542609,0.0004944287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00002353784,0.00008693685,0.04922707,0.00001144099,0.00002597012,0.000007714151,0.005270428,0.001129724,0.000006513189,0.00222591,0.0001064597,0.9418783],"study_design_scores_gemma":[0.003213592,0.0004726362,0.4616246,0.003093035,0.00009979832,0.0003577428,0.260756,0.02823194,0.0002151821,0.04708358,0.1940217,0.0008301223],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779488,0.001048437,0.0001613866,0.004655843,0.0008537181,0.0001851123,0.000002650142,0.00001262224,0.01513144],"genre_scores_gemma":[0.9975625,0.00002308172,0.00001075563,0.001816808,0.0001618449,0.00002084503,0.000004339186,0.000009189527,0.0003906264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9410481,"threshold_uncertainty_score":0.9883339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02976961218486298,"score_gpt":0.359395974824853,"score_spread":0.3296263626399901,"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."}}