{"id":"W4403145583","doi":"10.1111/anae.16446","title":"A competency framework for simulation facilitation in low‐resource settings: a modified Delphi study","year":2024,"lang":"en","type":"article","venue":"Anaesthesia","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Curtin University of Technology; Australian and New Zealand College of Anaesthetists","keywords":"Facilitation; Context (archaeology); Delphi method; Medicine; Resource (disambiguation); Core competency; Debriefing; Medical education; Knowledge management; Health care; Set (abstract data type); Nursing; Psychology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005203172,0.0001557738,0.0002469685,0.0003662417,0.00008944296,0.00004558324,0.00006969833,0.0001365546,0.00003309003],"category_scores_gemma":[0.0004244627,0.0001553778,0.00008312854,0.0006189394,0.00002401779,0.0001142661,0.000007390523,0.0002343856,0.00003655206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000251043,"about_ca_system_score_gemma":0.0003173742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001045642,"about_ca_topic_score_gemma":0.00002050571,"domain_scores_codex":[0.9984685,0.0001127373,0.000494691,0.0004010636,0.00027926,0.0002437052],"domain_scores_gemma":[0.9980613,0.001260452,0.00006248937,0.000314625,0.0001999961,0.0001011272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007287937,0.001282955,0.4589559,0.001954983,0.0001129503,0.00007244169,0.1149099,0.3408769,0.00003058352,0.0179359,0.0006118946,0.06252676],"study_design_scores_gemma":[0.001206646,0.0009633453,0.2201622,0.001137585,0.00008725114,0.000003508254,0.01789,0.7482846,0.00001615722,0.008792918,0.001201019,0.0002548011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9744783,0.0004329623,0.01745633,0.004798594,0.0001483637,0.00239747,0.000009279578,0.0002057828,0.00007292633],"genre_scores_gemma":[0.9942984,0.000002834721,0.003990031,0.000959137,0.0001855893,0.0003472684,0.000111854,0.00003899294,0.00006587784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4074076,"threshold_uncertainty_score":0.6336122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04504538552935957,"score_gpt":0.3874069414831059,"score_spread":0.3423615559537464,"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."}}