{"id":"W3032148126","doi":"10.1007/s00134-020-06074-7","title":"Prognostic relevance and inter-observer reliability of chest-imaging in pediatric ARDS: a pediatric acute respiratory distress incidence and epidemiology (PARDIE) study","year":2020,"lang":"en","type":"article","venue":"Intensive Care Medicine","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Department of Anesthesiology and Critical Care Medicine, Johns Hopkins Medicine; Keck School of Medicine of USC; National Center for Advancing Translational Sciences; Fonds de Recherche du Québec - Santé; Children's Hospital Los Angeles; University of Southern California","keywords":"Medicine; ARDS; Epidemiology; Incidence (geometry); Anesthesiology; Acute respiratory distress; Intensive care medicine; Pain medicine; Respiratory distress; Reliability (semiconductor); Emergency medicine; Pediatrics; Internal medicine; Pathology; Radiology; Lung","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":[0.009101485,0.0005681815,0.0006062655,0.001075451,0.0003566315,0.001139947,0.0007501853,0.0007175445,0.000682192],"category_scores_gemma":[0.02615335,0.0004954786,0.00124291,0.001102628,0.0005076712,0.001142537,0.001122857,0.0008624401,0.0001836704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006187812,"about_ca_system_score_gemma":0.000502167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003326179,"about_ca_topic_score_gemma":0.004959138,"domain_scores_codex":[0.9896588,0.005820736,0.001023872,0.001712817,0.001185087,0.0005986941],"domain_scores_gemma":[0.9715484,0.01520547,0.007035768,0.003175812,0.002366522,0.0006680133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002137386,0.00003137716,0.997502,0.000009814841,0.0002002394,0.00002002279,0.0002090611,0.00007937381,0.00009224749,0.00002284013,0.00008805652,0.001531237],"study_design_scores_gemma":[0.00003312776,0.0003487979,0.9975415,0.00001244507,0.0001681138,0.000208535,0.0004116978,0.0008046125,0.0001643336,0.00002583639,0.0002713642,0.000009659741],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982248,0.0003397278,0.000613315,0.00003449351,0.00001851951,0.00002446465,0.0003410749,0.00000623203,0.0003973732],"genre_scores_gemma":[0.9988949,0.00009781161,0.0004414896,0.00002178721,0.00002662163,0.0000307868,0.0003925379,0.000008026493,0.00008609072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009101485,"threshold_uncertainty_score":0.04813379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04484261270237827,"score_gpt":0.3293659073306556,"score_spread":0.2845232946282773,"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."}}