{"id":"W3040841531","doi":"10.1164/ajrccm-conference.2020.201.1_meetingabstracts.a7578","title":"Extravascular Lung Water and Outcomes Following Lung Transplantation","year":2020,"lang":"en","type":"article","venue":"","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; Toronto General Hospital; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Lung; Lung transplantation; Medicine; Transplantation; Computer science; Intensive care 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002819325,0.0003740494,0.001068765,0.001591822,0.0006158016,0.003574495,0.0008560079,0.0009049692,0.001436334],"category_scores_gemma":[0.01052253,0.0001702233,0.001031203,0.002176581,0.001143521,0.002172625,0.002093074,0.001982931,0.0002252763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001600797,"about_ca_system_score_gemma":0.001345434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003961734,"about_ca_topic_score_gemma":0.004333372,"domain_scores_codex":[0.9975158,0.000903483,0.0002633468,0.0002658763,0.0005448637,0.0005066203],"domain_scores_gemma":[0.9911669,0.002197961,0.004019786,0.0003232508,0.0009484492,0.001343629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001173756,0.0003684997,0.9864245,0.0001604633,0.0003561215,0.0001139276,0.0001900255,0.0001074471,0.0001096672,0.0002784781,0.0002868082,0.01043034],"study_design_scores_gemma":[0.00005634556,0.001149704,0.9930899,0.0001587528,0.0005066412,0.0003465916,0.001340137,0.0004301481,0.0006829367,0.001107758,0.001089934,0.00004116978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857328,0.008960556,0.0003744877,0.00105688,0.0001861315,0.00003133104,0.000738762,0.00001333767,0.002905575],"genre_scores_gemma":[0.9975617,0.00123345,0.0001223793,0.0001306353,0.0001609385,0.00001555841,0.0004342874,0.000005617283,0.0003354678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003961734,"threshold_uncertainty_score":0.01491022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0201914895563722,"score_gpt":0.3065692961777609,"score_spread":0.2863778066213887,"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."}}