{"id":"W3087253978","doi":"10.1186/s40635-020-00343-x","title":"The endogenous capacity to produce proinflammatory mediators by the ex vivo human perfused lung","year":2020,"lang":"en","type":"article","venue":"Intensive Care Medicine Experimental","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; National Institutes of Health; Association Chirurgicale Pour Le Développement et L'Amélioration des Techniques de Dépistage et de Traitement des Maladies Cardio-vasculaires; Council for Science and Technology Policy; University of California, San Francisco; University of Toronto","keywords":"Ex vivo; Medicine; Lung; Perfusion; Proinflammatory cytokine; In vivo; Machine perfusion; Biomarker; Transplantation; Andrology; Immunology; Lung transplantation; Pathology; Internal medicine; Inflammation; Chemistry; Biology; Liver transplantation; Biochemistry; Biotechnology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002579404,0.0003416312,0.0004992601,0.00004760975,0.0004808941,0.00002663519,0.0003145013,0.00007521056,0.0001642417],"category_scores_gemma":[0.001101522,0.0001760092,0.0001418225,0.0002177088,0.0005138626,0.00005659092,0.00006708156,0.0004222698,0.00002944357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002011425,"about_ca_system_score_gemma":0.00008619876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001970665,"about_ca_topic_score_gemma":0.00001819238,"domain_scores_codex":[0.9977165,0.0001836422,0.000481898,0.0004975921,0.00070526,0.0004151306],"domain_scores_gemma":[0.9977868,0.0002947649,0.0001201273,0.0004443619,0.0009181134,0.0004358676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003409364,0.00002084147,0.007574262,0.00009029959,0.0001270111,0.000130903,0.1615043,4.870761e-7,0.7722458,0.000104707,0.05745056,0.000409958],"study_design_scores_gemma":[0.002179443,0.001101541,0.001909393,0.0001441568,0.0001663037,0.0002467659,0.2142927,0.000009765145,0.7661586,0.000003862005,0.01357263,0.0002148816],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9485573,0.007203391,0.0001226147,0.03960369,0.0009559217,0.001988952,0.00003389439,0.0001368109,0.001397457],"genre_scores_gemma":[0.9748989,0.00003058611,0.0001768077,0.02328573,0.001189011,0.0001537055,0.00004335068,0.00005349708,0.0001684373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0527884,"threshold_uncertainty_score":0.7177447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05367683377350935,"score_gpt":0.3330966961977139,"score_spread":0.2794198624242046,"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."}}