{"id":"W2800570001","doi":"10.1007/s41347-018-0058-2","title":"The Use of Virtual Clients for Training Behavioral Health Providers: Promises, Challenges and the Way Ahead","year":2018,"lang":"en","type":"article","venue":"Journal of Technology in Behavioral Science","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"FPInnovations","funders":"","keywords":"Training (meteorology); Health care; Clinical Practice; Work (physics); Field (mathematics); Virtual patient; Best practice; Psychology; Computer science; Knowledge management; Medical education; Medicine; Nursing; Engineering","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":[0.02490908,0.0006494236,0.0005290239,0.0005279115,0.001448208,0.006530378,0.004522498,0.003704172,0.01990897],"category_scores_gemma":[0.03704172,0.000337911,0.0006901309,0.0004504607,0.002574334,0.00742639,0.005180521,0.003558046,0.002206779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001321411,"about_ca_system_score_gemma":0.007527555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003783987,"about_ca_topic_score_gemma":0.01098765,"domain_scores_codex":[0.9879807,0.009525713,0.0001811703,0.0003490743,0.001129658,0.0008336821],"domain_scores_gemma":[0.9388857,0.03703791,0.002137228,0.003684771,0.003909407,0.01434499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009069156,0.004414293,0.02335363,0.001013141,0.000118946,0.0002353035,0.003891585,0.002954048,0.001142132,0.03062727,0.07169954,0.8596433],"study_design_scores_gemma":[0.001589815,0.01373715,0.06705242,0.01405972,0.000384303,0.002825903,0.053716,0.03267916,0.007443545,0.1987062,0.6071521,0.0006537544],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2543197,0.04289255,0.03808095,0.5867054,0.006625753,0.0005000503,0.0006989376,0.001213148,0.06896364],"genre_scores_gemma":[0.8867917,0.02879936,0.04873926,0.02021018,0.002454792,0.0009074806,0.0004817782,0.0001657312,0.01144963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02490908,"threshold_uncertainty_score":0.1317334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2375517264204767,"score_gpt":0.4526804882426221,"score_spread":0.2151287618221454,"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."}}