{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1352134,0.002798734,0.003729356,0.01800099,0.00289815,0.006331042,0.0123441,0.008554964,0.008034407],"category_scores_gemma":[0.2161933,0.001662316,0.006414097,0.008286326,0.002078815,0.007299851,0.01080758,0.007576746,0.004937165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008073733,"about_ca_system_score_gemma":0.04395178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00474219,"about_ca_topic_score_gemma":0.003333831,"domain_scores_codex":[0.8832795,0.05220265,0.03091069,0.003667642,0.02650531,0.003434248],"domain_scores_gemma":[0.8113881,0.06451172,0.02074197,0.004092597,0.09019292,0.009072627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002926095,0.001501355,0.01791465,0.02812894,0.0009111334,0.001052573,0.003943848,0.005647224,0.0009946246,0.01042387,0.2202152,0.7089739],"study_design_scores_gemma":[0.002015946,0.001507636,0.08082696,0.2636843,0.003497082,0.005034802,0.02361942,0.02533964,0.005785333,0.06370468,0.523878,0.001106097],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0388464,0.07000519,0.3537351,0.3443776,0.01751571,0.06048081,0.01650376,0.004736253,0.09379918],"genre_scores_gemma":[0.1011442,0.02784657,0.7845973,0.01384419,0.001234102,0.04701394,0.0177071,0.0005386852,0.006073986],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1352134,"threshold_uncertainty_score":0.7150854,"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."}}