{"id":"W2995903475","doi":"10.1002/lary.28461","title":"Competency‐Based Assessment Tool for Pediatric Tracheotomy: International Modified Delphi Consensus","year":2019,"lang":"en","type":"article","venue":"The Laryngoscope","topic":"Tracheal and airway disorders","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario; University of Alberta Hospital; University of Toronto; Montreal Children's Hospital; Western University; Victoria Hospital; University of Ottawa; McGill University; Stollery Children's Hospital; Izaak Walton Killam Health Centre; Hospital for Sick Children; Alberta Hospital Edmonton; University of British Columbia; Dalhousie University; SickKids Foundation; BC Children's Hospital","funders":"Hospital for Sick Children","keywords":"Delphi; Likert scale; Delphi method; Tracheotomy; Task (project management); Medicine; Process (computing); Rating scale; Medical physics; Computer science; Psychology; Surgery; Artificial intelligence; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.1422215,0.0009913826,0.001007857,0.003583591,0.001722711,0.002158317,0.002660414,0.001560737,0.00447956],"category_scores_gemma":[0.1614029,0.0007542464,0.001319413,0.00157805,0.002162138,0.003136654,0.007162155,0.002234711,0.001611605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003656405,"about_ca_system_score_gemma":0.01790295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001550333,"about_ca_topic_score_gemma":0.00209992,"domain_scores_codex":[0.8115643,0.1497592,0.01393499,0.004222147,0.0169402,0.00357908],"domain_scores_gemma":[0.905916,0.04761349,0.008447954,0.004547193,0.03086414,0.002611335],"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":[0.00219544,0.001957224,0.05309201,0.008560247,0.0004985418,0.001092204,0.1048184,0.01065734,0.01703378,0.0171832,0.04124897,0.7416626],"study_design_scores_gemma":[0.004863972,0.0116167,0.2294444,0.019295,0.001210309,0.008837742,0.1703882,0.1730989,0.0574886,0.08014604,0.2411255,0.002484534],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3459003,0.0009588685,0.4967835,0.008640148,0.0009064733,0.1048256,0.001214818,0.0006821511,0.0400881],"genre_scores_gemma":[0.4116234,0.0005308414,0.5167773,0.001471463,0.000123478,0.06622057,0.0006699311,0.00009823567,0.002484782],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1422215,"threshold_uncertainty_score":0.752148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01801420616394684,"score_gpt":0.3013115007454705,"score_spread":0.2832972945815236,"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."}}