{"id":"W3017198568","doi":"10.1002/aet2.10456","title":"Using Observation to Determine Teachable Moments Within a Serious Game: A GridlockED as Medical Education (GAME) Study","year":2020,"lang":"en","type":"article","venue":"AEM Education and Training","topic":"Educational Games and Gamification","field":"Psychology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; McMaster University; Dalhousie University; University of Ottawa","funders":"","keywords":"Teachable moment; Medical education; Prioritization; Observational study; Health care; Psychology; Emergency department; Computer science; Medicine; Nursing; Engineering; Management science","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":[0.002377192,0.0005063415,0.0004130762,0.001540655,0.0008474495,0.001001494,0.0007958171,0.0006657061,0.001759211],"category_scores_gemma":[0.01376992,0.0004102912,0.0004424968,0.0005043679,0.001086441,0.0009290937,0.00152611,0.001074998,0.0004409785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009313049,"about_ca_system_score_gemma":0.001034871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002716879,"about_ca_topic_score_gemma":0.007868208,"domain_scores_codex":[0.9983473,0.0007778917,0.0001267706,0.000244791,0.0002646299,0.000238591],"domain_scores_gemma":[0.9924784,0.00356223,0.001380062,0.0004290541,0.001364444,0.0007857576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001600467,0.0126157,0.542641,0.0008521476,0.0001258094,0.002427986,0.2893438,0.001063321,0.02759928,0.0009966422,0.001721901,0.1190119],"study_design_scores_gemma":[0.0002904228,0.01330171,0.7603559,0.0003520872,0.0001461334,0.001325189,0.1894704,0.006292874,0.01448186,0.001094924,0.01266222,0.0002262283],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949366,0.00003656977,0.003254139,0.00004162605,0.000008370868,0.0005334862,0.00009940335,0.00001484133,0.001074897],"genre_scores_gemma":[0.9903926,0.0001238719,0.006897526,0.00006825946,0.00001098795,0.000964577,0.0001332787,0.00001373964,0.00139516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002716879,"threshold_uncertainty_score":0.01257199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1383595336852845,"score_gpt":0.4123193836956737,"score_spread":0.2739598500103892,"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."}}