{"id":"W3178410725","doi":"10.23736/s0375-9393.21.15188-0","title":"Lung ultrasound predicts non-invasive ventilation outcome in COVID-19 acute respiratory failure: a pilot study","year":2021,"lang":"en","type":"article","venue":"Minerva Anestesiologica","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Hospital Foundation","funders":"","keywords":"Medicine; Mechanical ventilation; Intensive care unit; Lung ultrasound; Respiratory failure; Oxygenation; Lung; Area under the curve; Ventilation (architecture); Anesthesia; Prospective cohort study; Intensive care; Internal medicine; Intensive care 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":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007355846,0.0003124018,0.0007230482,0.0001457481,0.0001676666,0.00005130063,0.00026327,0.000205816,0.0005060269],"category_scores_gemma":[0.00995288,0.000256017,0.0001397278,0.0008990216,0.0001799879,0.0001436754,0.0001145689,0.0005219044,0.0001307044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002768041,"about_ca_system_score_gemma":0.0005332021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005637059,"about_ca_topic_score_gemma":0.0004475824,"domain_scores_codex":[0.9969208,0.0002895742,0.001061309,0.0008988851,0.0003938861,0.0004355311],"domain_scores_gemma":[0.9939493,0.004226291,0.0002594838,0.0009055698,0.0002405091,0.00041883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003240228,0.002624567,0.8566571,0.0000926818,0.00009817175,0.0007240855,0.0002663485,0.00006427481,0.1370951,0.00003523939,0.001964981,0.00005342625],"study_design_scores_gemma":[0.003797286,0.003513823,0.987308,0.00007808944,0.000303368,0.0001773148,0.0007375859,0.00002944805,0.0008635324,0.0002519666,0.002658914,0.0002806688],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951326,0.0002326434,0.0003184308,0.001881091,0.0001170646,0.00168576,0.00004447674,0.0001680016,0.0004199738],"genre_scores_gemma":[0.9898336,0.00006671929,0.001640992,0.0066498,0.0002051421,0.0005009125,0.0002803192,0.00003141402,0.0007911239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1362316,"threshold_uncertainty_score":0.9999892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1002241703200588,"score_gpt":0.3823195227315801,"score_spread":0.2820953524115213,"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."}}