{"id":"W4401134715","doi":"10.1002/ohn.919","title":"Predicting Tracheostomy Need on Admission to the Intensive Care Unit—A Multicenter Machine Learning Analysis","year":2024,"lang":"en","type":"article","venue":"Otolaryngology","topic":"Tracheal and airway disorders","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Intensive care unit; Intensive care medicine; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01077159,0.0007483773,0.0007686042,0.002179779,0.0003979911,0.001057399,0.001011385,0.0008126039,0.0007358466],"category_scores_gemma":[0.01563518,0.000291,0.00134471,0.001691394,0.0003141179,0.000626779,0.001118547,0.0006485262,0.0002391883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000469682,"about_ca_system_score_gemma":0.000558336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003327761,"about_ca_topic_score_gemma":0.001987854,"domain_scores_codex":[0.9958351,0.002324236,0.0003426024,0.000846789,0.0004374096,0.0002138575],"domain_scores_gemma":[0.9896998,0.004142223,0.00329252,0.001147153,0.001005402,0.0007127785],"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":[0.0005641768,0.0001018588,0.9956262,0.00001551053,0.0003455169,0.00004461829,0.00003057059,0.0006423501,0.0001488179,0.00001894411,0.0002066019,0.002254764],"study_design_scores_gemma":[0.0001145409,0.0009739217,0.9728891,0.00003546146,0.0004342303,0.0003473688,0.0002206825,0.02429504,0.0002365928,0.00006190224,0.0003706269,0.00002046161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998664,0.0001818604,0.0004816951,0.00005867416,0.000009151376,0.00003008529,0.0004586092,0.000008871933,0.0001070803],"genre_scores_gemma":[0.998016,0.00006072393,0.0006582054,0.00002117555,0.0000203653,0.00002809786,0.001154079,0.000003698437,0.00003760333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01077159,"threshold_uncertainty_score":0.0569663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01561236395731496,"score_gpt":0.29103561738177,"score_spread":0.2754232534244551,"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."}}