{"id":"W2808904493","doi":"10.1017/cem.2018.391","title":"A new way to look at simulation-based assessment: the relationship between gaze-tracking and exam performance","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Queen's University","funders":"","keywords":"Gaze; Medicine; Eye tracking; Context (archaeology); Diabetic ketoacidosis; Fixation (population genetics); Resuscitation; Emergency medicine; Medical emergency; Psychology; Internal medicine; Insulin; Artificial intelligence","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":[0.00511298,0.0008474462,0.0007242641,0.002795109,0.0007888238,0.005742188,0.001422693,0.00239277,0.01093259],"category_scores_gemma":[0.03942152,0.0004964151,0.0007927208,0.001772355,0.001224381,0.007793413,0.002640034,0.00462515,0.00105688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007676603,"about_ca_system_score_gemma":0.001802424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01098081,"about_ca_topic_score_gemma":0.01886885,"domain_scores_codex":[0.9972708,0.001358873,0.0002429999,0.0003823322,0.0006129547,0.000132032],"domain_scores_gemma":[0.9748746,0.0153771,0.002639881,0.001578166,0.004134913,0.001395318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001342495,0.001515748,0.6691244,0.001016466,0.001261137,0.0003554762,0.009186738,0.002742493,0.01676062,0.009429908,0.01371911,0.2735454],"study_design_scores_gemma":[0.0001798017,0.002190538,0.8988626,0.001481887,0.0007988063,0.002274721,0.01214915,0.03153069,0.0064586,0.02781948,0.01560788,0.000645831],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7791212,0.01403152,0.1336663,0.02628114,0.003096379,0.0003989468,0.002758638,0.001443616,0.03920226],"genre_scores_gemma":[0.9467908,0.002395019,0.0449045,0.001436066,0.0004767693,0.0001683333,0.00065645,0.0001541838,0.003017885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01098081,"threshold_uncertainty_score":0.03657317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2201558996002922,"score_gpt":0.4475246494620562,"score_spread":0.2273687498617639,"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."}}