{"id":"W4413200784","doi":"10.3102/ip.25.2187394","title":"Emotion Regulation Strategies and Perceptions of Their Effectiveness During Interprofessional Medical Simulations (Poster 25)","year":2025,"lang":"en","type":"article","venue":"","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Perception; Computer science; Human–computer interaction; Medical education; Psychology; Medicine; Neuroscience","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":[0.001982677,0.0003776042,0.000302255,0.000256633,0.0005879833,0.001655374,0.0003580743,0.000837212,0.005394268],"category_scores_gemma":[0.01326036,0.000264641,0.0004403306,0.0001063239,0.000424329,0.0005382523,0.000910015,0.001556603,0.0005672743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003299636,"about_ca_system_score_gemma":0.0004136042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000701294,"about_ca_topic_score_gemma":0.00115285,"domain_scores_codex":[0.9992363,0.0003398257,0.00005219886,0.0000755471,0.0001682866,0.0001277718],"domain_scores_gemma":[0.9940249,0.003458241,0.0007242868,0.0001860488,0.0005168724,0.001089724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01630831,0.02934787,0.4716189,0.001426148,0.001234107,0.000832721,0.1663842,0.003909871,0.1127804,0.001988662,0.006136579,0.1880323],"study_design_scores_gemma":[0.0008946191,0.0160069,0.8499851,0.0002819924,0.0004114363,0.0005064239,0.1066304,0.00426874,0.0129525,0.001209521,0.00657961,0.0002728395],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997766,0.00003936439,0.0003650438,0.0001808617,0.00003790152,0.00005910862,0.00003892987,0.00001332517,0.001499389],"genre_scores_gemma":[0.9965824,0.0001287528,0.001148683,0.0001544789,0.00002307105,0.0001980795,0.00006610731,0.000008932569,0.001689495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005394268,"threshold_uncertainty_score":0.01804566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01665539998916619,"score_gpt":0.3793901657272004,"score_spread":0.3627347657380341,"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."}}