{"id":"W2556794315","doi":"10.1080/13561820.2016.1233390","title":"Learning by viewing versus learning by doing: A comparative study of observer and participant experiences during an interprofessional simulation training","year":2016,"lang":"en","type":"article","venue":"Journal of Interprofessional Care","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Haukeland Universitetssjukehus; York University","keywords":"Interprofessional education; Psychology; Training (meteorology); Medical education; Participant observation; Observer (physics); Simulation training; Applied psychology; Medicine; Computer science; Health care; Simulation; Sociology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01560524,0.0007242741,0.0008817919,0.001554179,0.002797293,0.002598862,0.001235177,0.001287907,0.00255804],"category_scores_gemma":[0.05073195,0.0007055578,0.0005502037,0.0007004928,0.003329571,0.002791386,0.003698023,0.001358114,0.0004211829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001159487,"about_ca_system_score_gemma":0.001217798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001439778,"about_ca_topic_score_gemma":0.002900578,"domain_scores_codex":[0.9859788,0.01067891,0.0005295903,0.0007802036,0.001011597,0.001020808],"domain_scores_gemma":[0.96315,0.02711705,0.003227093,0.001097876,0.003281725,0.002126259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0006441444,0.0009635767,0.04246806,0.0003072335,0.00003505872,0.0008401592,0.9346694,0.00006113923,0.005088192,0.0001532102,0.0001671284,0.0146027],"study_design_scores_gemma":[0.00006956554,0.004226317,0.05693012,0.0002133988,0.00006106229,0.0009980988,0.9308554,0.0003198863,0.002692338,0.0001832935,0.003362365,0.00008819962],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984741,0.00009103927,0.000626569,0.00006158192,0.0000110201,0.00005186609,0.00001498669,0.000005770587,0.0006630816],"genre_scores_gemma":[0.9984908,0.0001402907,0.0005350678,0.00006116056,0.00001538759,0.0001151149,0.00002327252,0.00001096562,0.0006079255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01560524,"threshold_uncertainty_score":0.08252937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1568332620576967,"score_gpt":0.4619800441912079,"score_spread":0.3051467821335112,"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."}}