{"id":"W2077987766","doi":"10.1097/eja.0b013e3283312725","title":"Learning fibreoptic intubation with a virtual computer program transfers to ‘hands on’ improvement","year":2009,"lang":"en","type":"article","venue":"European Journal of Anaesthesiology","topic":"Airway Management and Intubation Techniques","field":"Medicine","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Hospital for Sick Children; SickKids Foundation; University of Toronto","funders":"","keywords":"Medicine; Intubation; Anesthesia; Clinical endpoint; Airway management; Airway; Randomized controlled trial; Medical physics; 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":[{"model":"gemma","categories":[],"domain":null,"study_design":"nonrandomized_trial","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009976061,0.000597155,0.0006718609,0.0003312891,0.0001628058,0.0003793119,0.0005170164,0.0003968791,0.00488599],"category_scores_gemma":[0.003103405,0.0001887512,0.0004906915,0.0001262909,0.0004689113,0.0004474074,0.0009346714,0.0004880237,0.000357235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002490603,"about_ca_system_score_gemma":0.0005340534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002751482,"about_ca_topic_score_gemma":0.0002911304,"domain_scores_codex":[0.9993672,0.0002029881,0.000043502,0.0001100078,0.0001486277,0.0001277254],"domain_scores_gemma":[0.9987168,0.0004793268,0.0002372197,0.0001390164,0.00006518704,0.0003624807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.04035144,0.08078953,0.02233759,0.0009789907,0.0002644029,0.0003240104,0.0015182,0.004742762,0.04421094,0.000420987,0.00111786,0.8029432],"study_design_scores_gemma":[0.0122098,0.8220078,0.1305179,0.0002357875,0.0003712271,0.001067712,0.0005454175,0.006001075,0.02175423,0.0007719613,0.004429576,0.00008744236],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981663,0.00005473198,0.000928,0.00003394493,0.00001474688,0.000187398,0.000008200873,0.00002011899,0.0005866212],"genre_scores_gemma":[0.9912192,0.0002289629,0.006636702,0.00007927627,0.00006164205,0.0005930875,0.00006347257,0.000006867135,0.001110723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00488599,"threshold_uncertainty_score":0.01634532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008667848171493934,"score_gpt":0.2476023392249245,"score_spread":0.2389344910534306,"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."}}