{"id":"W2793874729","doi":"10.1111/anae.14247","title":"The Airway App: exploring the role of smartphone technology to capture emergency front‐of‐neck airway experiences internationally","year":2018,"lang":"en","type":"article","venue":"Anaesthesia","topic":"Airway Management and Intubation Techniques","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Health Research Board","keywords":"Medicine; Airway; Airway management; Medical emergency; 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":[0.004747234,0.0003252026,0.000260414,0.0009541197,0.000520853,0.002350743,0.0004874501,0.0005494003,0.001389949],"category_scores_gemma":[0.01814745,0.0002333551,0.0005670465,0.000599817,0.0005353091,0.002127778,0.001718553,0.0005284401,0.0004674383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003875759,"about_ca_system_score_gemma":0.0008848513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001757582,"about_ca_topic_score_gemma":0.00444257,"domain_scores_codex":[0.9972295,0.001810603,0.0002066478,0.0001861535,0.0003190702,0.000248001],"domain_scores_gemma":[0.9893167,0.0071635,0.0012161,0.0003739159,0.001370606,0.0005591564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005545644,0.001147714,0.6661068,0.001739071,0.0001842608,0.001429209,0.1535945,0.0002609876,0.002440188,0.001177682,0.004529355,0.1668357],"study_design_scores_gemma":[0.0001785412,0.004437127,0.6997832,0.00122339,0.0003465412,0.002997087,0.2549202,0.003070281,0.002118175,0.001053185,0.02969719,0.0001750018],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993064,0.0002476184,0.001778046,0.0005073588,0.00003930287,0.0006812628,0.0005194504,0.00003108516,0.003131926],"genre_scores_gemma":[0.9868346,0.0005308117,0.009051384,0.0005535177,0.0000520498,0.001482282,0.0004320211,0.00002444148,0.001038974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004747234,"threshold_uncertainty_score":0.02510601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01267487855876949,"score_gpt":0.2662174724661938,"score_spread":0.2535425939074243,"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."}}