{"id":"W3081234427","doi":"10.1016/j.chest.2020.08.2054","title":"Lung Ultrasound for Patients With Coronavirus Disease 2019 Pulmonary Disease","year":2020,"lang":"en","type":"article","venue":"CHEST Journal","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Medicine; Coronavirus; Lung ultrasound; Ultrasound; Coronavirus disease 2019 (COVID-19); Disease; Lung; Respiratory disease; Respiratory failure; Radiology; Pulmonary disease; Intensive care medicine; Internal medicine; Pathology; Infectious disease (medical specialty)","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":[0.0004706157,0.0003100017,0.0004843968,0.001080327,0.0005226693,0.0007445592,0.0002633199,0.001159897,0.006727748],"category_scores_gemma":[0.002183489,0.0001289049,0.0003558833,0.0004936334,0.0003156159,0.0005738699,0.0003804142,0.0008173024,0.0008313353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003257379,"about_ca_system_score_gemma":0.0007093097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001905166,"about_ca_topic_score_gemma":0.002752428,"domain_scores_codex":[0.9997465,0.00008079455,0.00003547734,0.00002325738,0.00004554256,0.00006841437],"domain_scores_gemma":[0.9993375,0.0002717377,0.0000966972,0.00002090079,0.000106335,0.000166736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006659107,0.0002523923,0.8929914,0.0004018792,0.00006220365,0.01804137,0.0003565614,0.000121452,0.003602261,0.0004257775,0.007890705,0.07518803],"study_design_scores_gemma":[0.0001483878,0.001215597,0.9191022,0.001181698,0.0001775624,0.05257578,0.002049588,0.0008709534,0.001695382,0.001075894,0.0198664,0.00004048523],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8611835,0.05586171,0.00143899,0.0114976,0.000744359,0.0002860301,0.0006929857,0.00009940293,0.06819545],"genre_scores_gemma":[0.9824075,0.01000753,0.001461369,0.002185989,0.001047642,0.00007628264,0.0004284644,0.00001373696,0.002371526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006727748,"threshold_uncertainty_score":0.02250659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04353136341882869,"score_gpt":0.3348587684153451,"score_spread":0.2913274049965164,"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."}}