{"id":"W2808884643","doi":"10.1016/j.bja.2018.02.039","title":"The Airway App: exploring the role of smartphone technology to capture emergency front-of-neck airway experiences worldwide","year":2018,"lang":"en","type":"article","venue":"British Journal of Anaesthesia","topic":"Tracheal and airway disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Airway; Medical emergency; Capnography; Airway management; General surgery; Surgery; Anesthesia","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":[0.001613225,0.0003174867,0.0001820285,0.000624778,0.0005724257,0.002353984,0.0004285625,0.0008221975,0.003379523],"category_scores_gemma":[0.00715661,0.0001406466,0.0002938456,0.0003689769,0.0004797173,0.003011463,0.002293204,0.0006894894,0.001099805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002806393,"about_ca_system_score_gemma":0.000586293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001365589,"about_ca_topic_score_gemma":0.005580828,"domain_scores_codex":[0.9993572,0.0003527206,0.00003103028,0.0000478479,0.0001134794,0.00009781937],"domain_scores_gemma":[0.9965168,0.002401453,0.000209019,0.0001027042,0.0003634578,0.0004064305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001195959,0.0009494011,0.1891597,0.00352483,0.0001820805,0.003355749,0.2017072,0.000509419,0.007590604,0.005812821,0.04999301,0.5360193],"study_design_scores_gemma":[0.0001903112,0.003578506,0.3273831,0.004284294,0.000469723,0.007907069,0.4027554,0.005485275,0.004871505,0.005983774,0.2367195,0.0003714354],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666964,0.002171327,0.004157003,0.004228656,0.000354295,0.0003850949,0.0009814312,0.0002342862,0.02079152],"genre_scores_gemma":[0.9792987,0.003243746,0.007226086,0.002211089,0.0002317605,0.0004706626,0.0005390762,0.00009746548,0.006681517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003379523,"threshold_uncertainty_score":0.01130563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009831634268388907,"score_gpt":0.2432612218540375,"score_spread":0.2334295875856486,"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."}}