{"id":"W4205622520","doi":"10.7759/cureus.21022","title":"Quality in Standardized Patient Training and Delivery: Retrospective Documentary Analysis of Trainer and Instructor Feedback","year":2022,"lang":"en","type":"article","venue":"Cureus","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Trainer; Quality assurance; Thematic analysis; Medicine; Scope (computer science); Medical education; Quality (philosophy); Consistency (knowledge bases); Quality management; Qualitative research; Computer science; Operations management; Artificial intelligence; Management system","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":[],"consensus_categories":[],"category_scores_codex":[0.000363558,0.00008186034,0.0003823343,0.0002313561,0.0000786597,0.000005482241,0.00002801546,0.00002989843,0.0006162548],"category_scores_gemma":[0.0000857886,0.00008367149,0.00004909669,0.0006210365,0.00006411581,0.00005704203,0.00003481153,0.0001502077,7.354082e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004921633,"about_ca_system_score_gemma":0.0001942605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001796502,"about_ca_topic_score_gemma":0.0002632351,"domain_scores_codex":[0.9988265,0.0001528128,0.0003726821,0.0002307372,0.0002985372,0.000118717],"domain_scores_gemma":[0.9993124,0.0001691807,0.0001375883,0.0001664862,0.0001270534,0.0000872697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002466569,0.00005825572,0.9576249,0.00003831248,0.0002441313,0.000002561347,0.03802506,0.0002194721,0.0001295683,0.0002002742,0.00003645507,0.003174315],"study_design_scores_gemma":[0.001490887,0.0002379893,0.9561421,0.00001368223,0.0001911591,0.000002931545,0.04078566,0.000725048,0.00004265228,0.0002020486,0.00009145572,0.00007434478],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979267,0.0006706645,0.000007379576,0.0005760315,0.0001091908,0.0002987394,0.0002467836,0.00001222477,0.0001523169],"genre_scores_gemma":[0.9990034,0.00002761539,0.000512785,0.0002678848,0.00002093301,0.000032449,0.0001184167,0.000008181577,0.000008395617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003099971,"threshold_uncertainty_score":0.6747558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04087421124234056,"score_gpt":0.3524634935679067,"score_spread":0.3115892823255662,"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."}}