{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008717806,0.0001868002,0.0004204187,0.0003202932,0.0001043653,0.000002939895,0.0001743099,0.0002954955,0.003787409],"category_scores_gemma":[0.004892983,0.0001622469,0.00004505073,0.0006079376,0.0001728323,0.0001065755,0.00003613322,0.0008890503,0.0000486245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001311648,"about_ca_system_score_gemma":0.000579868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001392588,"about_ca_topic_score_gemma":0.000003974298,"domain_scores_codex":[0.9976424,0.00004302217,0.0009704792,0.0003763761,0.0006768315,0.000290919],"domain_scores_gemma":[0.9954208,0.001762637,0.0004253932,0.0004479452,0.001514526,0.0004287425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003301887,0.000100759,0.8863418,0.0007752544,0.00008159474,0.000003096669,0.01887849,0.008174091,0.04139287,0.01094762,0.006469308,0.02650496],"study_design_scores_gemma":[0.002123488,0.0002874693,0.9711293,0.001035062,0.0001265951,0.00003988893,0.00204478,0.01022155,0.003597107,0.007589063,0.001567178,0.0002385402],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9459574,0.0002736868,0.001026759,0.0496337,0.001254316,0.001055946,0.00002359264,0.00005659675,0.0007179806],"genre_scores_gemma":[0.9910905,0.000003758924,0.002447246,0.003208313,0.002182468,0.00008955208,0.0001084155,0.00002963842,0.0008401059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08478752,"threshold_uncertainty_score":0.9971232,"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."}}