{"id":"W2914012940","doi":"10.1097/acm.0000000000002612","title":"Debriefing for the Transfer of Learning: The Importance of Context","year":2019,"lang":"en","type":"article","venue":"Academic Medicine","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Debriefing; Contextualization; Context (archaeology); Transfer of learning; Situated cognition; Psychology; Metacognition; Cognition; Cognitive psychology; Cognitive science; Computer science; Artificial intelligence; Social psychology; Interpretation (philosophy)","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":[0.0863208,0.001142024,0.0008736915,0.001712323,0.004777963,0.006304654,0.002893298,0.002172668,0.005699553],"category_scores_gemma":[0.3383743,0.000593358,0.0007157895,0.000711938,0.006610566,0.009024518,0.008368796,0.007014376,0.0009518448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005549233,"about_ca_system_score_gemma":0.009158612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002128204,"about_ca_topic_score_gemma":0.002890972,"domain_scores_codex":[0.8576436,0.1253223,0.004405655,0.00261696,0.008976779,0.00103463],"domain_scores_gemma":[0.8003202,0.1533905,0.008413102,0.01675189,0.01668749,0.004436904],"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":[0.001309524,0.0007810292,0.006313403,0.002330007,0.0001868556,0.0004143126,0.1238056,0.004404251,0.008133173,0.1678266,0.01122059,0.6732746],"study_design_scores_gemma":[0.0007669657,0.00308951,0.03058653,0.01425888,0.0002649746,0.002789921,0.1047087,0.0418772,0.02058622,0.4303353,0.3494876,0.001248144],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08990748,0.006891966,0.8241501,0.02884541,0.002838763,0.003727237,0.0001353736,0.0008871201,0.04261653],"genre_scores_gemma":[0.6123524,0.003120905,0.370992,0.003080169,0.000411499,0.00604149,0.000114491,0.0001892663,0.00369788],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0863208,"threshold_uncertainty_score":0.4565135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06102091886045392,"score_gpt":0.3844671680903682,"score_spread":0.3234462492299143,"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."}}