{"id":"W4413837065","doi":"10.1080/28376811.2025.2549842","title":"Training actors: a primer for social work educators working with standardized clients (SCs) in classroom simulations","year":2025,"lang":"en","type":"article","venue":"Studies in Clinical Social Work Transforming Practice Education and Research","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; McGill University","funders":"","keywords":"Training (meteorology); Primer (cosmetics); Work (physics); Psychology; Medical education; Social work; Pedagogy; Political science; Medicine; Engineering; Geography","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":[0.01489534,0.001177684,0.0006160899,0.002338231,0.004536177,0.007733185,0.003473981,0.008735609,0.005898702],"category_scores_gemma":[0.01379622,0.00101647,0.0007828551,0.001033696,0.01355551,0.01100872,0.00797283,0.01288644,0.003060178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00366153,"about_ca_system_score_gemma":0.007315971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001844684,"about_ca_topic_score_gemma":0.005538562,"domain_scores_codex":[0.9904665,0.007822582,0.0004145783,0.0002933169,0.0006194088,0.0003835616],"domain_scores_gemma":[0.9816953,0.0149864,0.0004833057,0.0005124789,0.0008722809,0.001450218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008276886,0.0007655105,0.001978102,0.001870117,0.00001720419,0.002245459,0.360116,0.001671326,0.00311429,0.3817485,0.04194046,0.2044503],"study_design_scores_gemma":[0.00001878017,0.000227419,0.0006681011,0.005030583,0.000008825892,0.002608042,0.07960196,0.00136507,0.001017468,0.07408454,0.8353133,0.00005601507],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02772699,0.04623799,0.4869296,0.2537588,0.007258502,0.003330647,0.0002260293,0.001908083,0.1726234],"genre_scores_gemma":[0.2121548,0.0665932,0.6122323,0.03527087,0.002212677,0.006449161,0.0002255274,0.001032784,0.0638288],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01489534,"threshold_uncertainty_score":0.07877499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4318387227883093,"score_gpt":0.6233072005901887,"score_spread":0.1914684778018794,"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."}}