{"id":"W3096515872","doi":"10.1002/ajum.12228","title":"Point‐of‐care lung ultrasound in the assessment of patients with COVID‐19: A tutorial","year":2020,"lang":"en","type":"article","venue":"Australasian Journal of Ultrasound in Medicine","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Montreal Heart Institute","funders":"West China Hospital, Sichuan University; Sichuan University; University of Melbourne","keywords":"Medicine; Ultrasound; Pneumothorax; Lung; Radiology; Pleural effusion; Coronavirus disease 2019 (COVID-19); Triage; Pneumonitis; Lung ultrasound; Pathology; Emergency medicine; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001448472,0.0003035942,0.001216626,0.0002794815,0.00004965568,0.00001397424,0.0005920316,0.0001780047,0.0007220507],"category_scores_gemma":[0.009153439,0.0001801136,0.0001910967,0.001229708,0.0007649857,0.0002031934,0.00001891763,0.001300206,0.000001509071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002507063,"about_ca_system_score_gemma":0.0007279696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005286005,"about_ca_topic_score_gemma":0.000030006,"domain_scores_codex":[0.9954424,0.0002962579,0.002187422,0.0003182216,0.001398365,0.0003573486],"domain_scores_gemma":[0.9910826,0.006093308,0.001270902,0.0004528156,0.0005848637,0.0005154824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009753742,0.0007790526,0.9807837,0.0004542333,0.0001591574,0.00005303364,0.008989612,0.0001133391,0.003090379,0.0008912311,0.003528812,0.0001820871],"study_design_scores_gemma":[0.01384014,0.007192397,0.955362,0.0008640819,0.0005080911,0.0002750654,0.01516468,0.00000694623,0.0001542159,0.0005049571,0.005932614,0.0001948533],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983772,0.000217335,0.001312455,0.01165333,0.0002652101,0.001059023,0.00006296608,0.00001049606,0.001647168],"genre_scores_gemma":[0.9926896,0.0002202142,0.00471734,0.00151381,0.0007034746,0.00001534591,0.00009880155,0.00003019451,0.00001123477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02542172,"threshold_uncertainty_score":0.9991929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02772967203097159,"score_gpt":0.3618666141156315,"score_spread":0.3341369420846599,"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."}}