{"id":"W3171594982","doi":"10.1007/s40670-021-01335-6","title":"Introducing Simulation-Based Learning for Trainees in Chronic Pain Medicine: Needs Assessment and Suggestions for Training Scenarios","year":2021,"lang":"en","type":"article","venue":"Medical Science Educator","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact; University of Toronto; McMaster University","funders":"","keywords":"Chronic pain; Medicine; Pain medicine; Active listening; Motivational interviewing; Pain assessment; Medical education; Physical therapy; Psychology; Pain management; Nursing; Psychiatry; Psychological intervention; Anesthesiology; Psychotherapist","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":[0.01825963,0.0006319209,0.0005006634,0.001041313,0.001374097,0.002097233,0.001954439,0.002848866,0.005300924],"category_scores_gemma":[0.04792516,0.0004026447,0.0007964916,0.000432687,0.0005367223,0.002251652,0.002366377,0.001926457,0.0007858475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001816417,"about_ca_system_score_gemma":0.007490231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00115678,"about_ca_topic_score_gemma":0.005109144,"domain_scores_codex":[0.9936701,0.004118199,0.0004268037,0.0001288976,0.001156882,0.0004991683],"domain_scores_gemma":[0.9710467,0.01781286,0.001315312,0.0004873762,0.004219891,0.005117856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009802639,0.01625042,0.08545123,0.006079278,0.0001443347,0.002496056,0.05417173,0.007237182,0.005371795,0.004850509,0.04339027,0.7735769],"study_design_scores_gemma":[0.002013647,0.0201169,0.1986654,0.03061808,0.0008339295,0.01261026,0.3630791,0.0607279,0.01955996,0.02800008,0.262444,0.001330761],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7808046,0.003617753,0.05491799,0.1025282,0.001118861,0.008310155,0.0005211763,0.001300133,0.04688114],"genre_scores_gemma":[0.7952195,0.006151338,0.1854062,0.003665389,0.000185101,0.003610053,0.0005519669,0.00007186545,0.005138608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01825963,"threshold_uncertainty_score":0.09656733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0614496460050282,"score_gpt":0.4373149443050575,"score_spread":0.3758652983000292,"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."}}