{"id":"W2787873207","doi":"10.1007/s12630-018-1062-x","title":"The sound of air: point-of-care lung ultrasound in perioperative medicine","year":2018,"lang":"en","type":"review","venue":"Canadian Journal of Anesthesia/Journal canadien d anesthésie","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Western Hospital; University of Toronto; University Health Network","funders":"University of Toronto","keywords":"Lung ultrasound; Medicine; Sound (geography); Point of care ultrasound; Perioperative; Ultrasound; Point of care; Lung; Intensive care medicine; Acoustics; Radiology; Internal medicine; Pathology; Physics","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":[0.001268757,0.0008300554,0.001470974,0.003564358,0.0004026564,0.001888035,0.001085824,0.002129085,0.003886204],"category_scores_gemma":[0.003740628,0.0003358225,0.0005949478,0.002561543,0.001606032,0.002219032,0.001265562,0.002256054,0.001518471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007511384,"about_ca_system_score_gemma":0.001954668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002666825,"about_ca_topic_score_gemma":0.004152567,"domain_scores_codex":[0.9992411,0.0001645686,0.0001269821,0.0001074714,0.0003102178,0.00004974389],"domain_scores_gemma":[0.9972491,0.001879281,0.0002715386,0.00004052139,0.0004685073,0.00009108171],"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":[0.0000703971,0.00004255832,0.0005052675,0.02209605,0.0000997024,0.0002539991,0.0001609274,0.0001724789,0.0008127945,0.004286829,0.02954971,0.9419492],"study_design_scores_gemma":[0.0000251923,0.00009627606,0.002158158,0.01559257,0.0002573672,0.003141757,0.0003762933,0.0001312867,0.000526703,0.003813858,0.9738253,0.00005519439],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005523949,0.9985788,0.00008552144,0.0004452732,0.0002732787,0.000001963532,0.000006088499,0.000002536859,0.0005514023],"genre_scores_gemma":[0.001027823,0.9973193,0.0001972367,0.0004675709,0.0006626208,0.000004018027,0.00001065396,0.000001458726,0.0003093626],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003886204,"threshold_uncertainty_score":0.01300061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03131942192405535,"score_gpt":0.3258577178460877,"score_spread":0.2945382959220323,"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."}}