{"id":"W1972891019","doi":"10.1097/acm.0b013e3181d7aabd","title":"Coordinating Progressive Levels of Simulation Fidelity to Maximize Educational Benefit","year":2010,"lang":"en","type":"article","venue":"Academic Medicine","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":165,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; University of British Columbia","funders":"","keywords":"Fidelity; Documentation; Test (biology); Curriculum; Computer science; Medical education; Medicine; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003895959,0.0006514458,0.0004630077,0.0005021548,0.0003013814,0.0007236252,0.0008822969,0.0004474097,0.002201926],"category_scores_gemma":[0.02360239,0.000208359,0.0002930407,0.0002465827,0.0004591199,0.0006517497,0.001590588,0.0004950657,0.0003311924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006028863,"about_ca_system_score_gemma":0.001594182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008796138,"about_ca_topic_score_gemma":0.001117687,"domain_scores_codex":[0.9954184,0.002705916,0.0003211013,0.0003789024,0.0007859098,0.0003898112],"domain_scores_gemma":[0.9910081,0.004459995,0.001614219,0.001305243,0.0007421779,0.0008703077],"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":[0.01097023,0.02363243,0.1075002,0.001312085,0.0004850307,0.0002322407,0.002187405,0.1052395,0.1171296,0.003311793,0.001482399,0.6265171],"study_design_scores_gemma":[0.009135881,0.1787551,0.3787618,0.001462273,0.001304655,0.001499585,0.001939177,0.2512042,0.1368897,0.01085358,0.02778278,0.0004113214],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9509709,0.0001714422,0.04468365,0.0002050947,0.00003635176,0.001198814,0.00004259641,0.0002498943,0.002441075],"genre_scores_gemma":[0.97126,0.0000777867,0.02770427,0.00003850787,0.0000170878,0.0005266034,0.00004998868,0.00001295423,0.000312898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003895959,"threshold_uncertainty_score":0.02060401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07537426260520803,"score_gpt":0.4513485371988477,"score_spread":0.3759742745936397,"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."}}