{"id":"W2009300229","doi":"10.1111/anae.12598","title":"Sublingual ultrasound as an assessment method for predicting difficult intubation: a pilot study","year":2014,"lang":"en","type":"article","venue":"Anaesthesia","topic":"Airway Management and Intubation Techniques","field":"Medicine","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Royal Alexandra Hospital","funders":"Alberta Heritage Foundation for Medical Research; Canadian Anesthesiologists' Society","keywords":"Medicine; Hyoid bone; Airway; Ultrasound; Intubation; Likelihood ratios in diagnostic testing; Tracheal intubation; Anesthesia; Floor of mouth; Orthodontics; Radiology; Surgery; Diagnostic accuracy; Oral cavity","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001922871,0.0006155695,0.0005395521,0.0005659123,0.0002855005,0.0003507963,0.0002300922,0.0004230106,0.001443822],"category_scores_gemma":[0.006366836,0.0003368306,0.0003564522,0.0002066397,0.0006307963,0.0006253076,0.0004815457,0.0005391273,0.0004678761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002354499,"about_ca_system_score_gemma":0.0004455897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009293114,"about_ca_topic_score_gemma":0.0009393955,"domain_scores_codex":[0.9990945,0.0004947959,0.00005601643,0.0001028935,0.0001473462,0.0001045409],"domain_scores_gemma":[0.9960667,0.002106298,0.0003501865,0.0003315668,0.0004279808,0.0007172842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01086807,0.01603103,0.9171555,0.0001128885,0.00009531742,0.001542813,0.002045823,0.0004477638,0.009095204,0.00007858863,0.0002589657,0.04226804],"study_design_scores_gemma":[0.001664008,0.1777246,0.8088332,0.00003183723,0.0001494144,0.00304894,0.001406855,0.003414825,0.002683987,0.0001366395,0.0008344313,0.00007129171],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999421,0.00004677013,0.000198353,0.00001313796,0.000005171709,0.0001194774,0.00001438797,0.000003342961,0.0001783319],"genre_scores_gemma":[0.9989195,0.00006796917,0.0006575995,0.00004622219,0.0000234665,0.0001428726,0.00003930784,0.000001624875,0.0001015773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001922871,"threshold_uncertainty_score":0.01016927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03284681427661733,"score_gpt":0.3881075819483714,"score_spread":0.3552607676717541,"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."}}