{"id":"W2995231580","doi":"10.1111/pan.13792","title":"Artificial intelligence, machine learning and the pediatric airway","year":2019,"lang":"en","type":"review","venue":"Pediatric Anesthesia","topic":"Airway Management and Intubation Techniques","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Artificial intelligence; Machine learning; Computer science; Deep learning; Airway management; Applications of artificial intelligence; Airway; Medicine; Surgery","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":[0.0005780766,0.0006023395,0.001078288,0.002564981,0.0003079277,0.001286754,0.0005158682,0.001367374,0.003139416],"category_scores_gemma":[0.001904528,0.0001993821,0.0006998128,0.002274028,0.0007928681,0.001456538,0.0005781011,0.001982313,0.0009543757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006751572,"about_ca_system_score_gemma":0.001680038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001385791,"about_ca_topic_score_gemma":0.002094288,"domain_scores_codex":[0.9996495,0.0000864721,0.00006822174,0.00004876494,0.0001221966,0.00002491606],"domain_scores_gemma":[0.9987313,0.0009458493,0.0001240913,0.00002441325,0.0001375947,0.0000367379],"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":[0.00004999428,0.00006102034,0.0006293078,0.04180971,0.0001774596,0.0003613504,0.0001771091,0.000569389,0.0005985903,0.01339837,0.02342091,0.9187468],"study_design_scores_gemma":[0.00001070885,0.00008672474,0.002758553,0.02388711,0.0002187887,0.002956216,0.0001841541,0.0002418034,0.0003368258,0.01048998,0.9588,0.00002917261],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009064032,0.9984559,0.0001211551,0.000421919,0.0001568641,0.000002585328,0.000008665304,0.000003911513,0.0007382815],"genre_scores_gemma":[0.0008442581,0.9983057,0.0001795526,0.0002124517,0.0002134201,0.00000431111,0.00001176998,0.00000102792,0.0002275723],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003139416,"threshold_uncertainty_score":0.01050234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04503243975131568,"score_gpt":0.3214038989060204,"score_spread":0.2763714591547048,"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."}}