{"id":"W4367313945","doi":"10.1002/lary.30674","title":"Pediatric Tracheostomy Emergency Readiness Assessment Tool: International Consensus Recommendations","year":2023,"lang":"en","type":"article","venue":"The Laryngoscope","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"National Center for Advancing Translational Sciences; National Institutes of Health; Georgia Clinical and Translational Science Alliance","keywords":"Likert scale; Debriefing; Delphi method; Delphi; Medical physics; Medicine; Medical emergency; Computer science; Psychology; Medical education; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006587253,0.0001377173,0.0001683152,0.0002458346,0.0002555519,0.00002199073,0.0001917731,0.00007275569,0.00353913],"category_scores_gemma":[0.0001955144,0.0001090199,0.00007689113,0.001002148,0.00003416822,0.00006685731,0.00005201323,0.0002836806,0.0007125161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001757899,"about_ca_system_score_gemma":0.0004342966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001211234,"about_ca_topic_score_gemma":0.00001007714,"domain_scores_codex":[0.9985045,0.0001290715,0.0004830928,0.0002561269,0.0003651984,0.0002619882],"domain_scores_gemma":[0.9984748,0.0004521741,0.0001467737,0.0004302796,0.0003900998,0.000105915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000514005,0.0001740349,0.7102229,0.0001072311,0.00008455494,0.00001293988,0.001270328,0.0002183455,0.0001175226,0.002369398,0.2807765,0.004594869],"study_design_scores_gemma":[0.0008006931,0.00006306227,0.9576268,0.00003403304,0.000120844,0.00002627167,0.001153247,0.00530025,0.0000479358,0.0008140389,0.03384391,0.0001689081],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8509127,0.0001261249,0.00009196335,0.138441,0.00389666,0.000650773,0.00006223527,0.0003123203,0.005506228],"genre_scores_gemma":[0.9907693,0.0004067283,0.0009903059,0.0009930177,0.001291727,0.0001888828,0.0007801026,0.00003634996,0.004543618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2474039,"threshold_uncertainty_score":0.9973718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05636322523520827,"score_gpt":0.4141339328956667,"score_spread":0.3577707076604585,"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."}}