{"id":"W2967889035","doi":"10.1111/ajt.15572","title":"Total parenteral nutrition in ex vivo lung perfusion: Addressing metabolism improves both inflammation and oxygenation","year":2019,"lang":"en","type":"article","venue":"American Journal of Transplantation","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Biodiversity Monitoring Institute; Canadian VIGOUR Centre; University of Alberta","funders":"","keywords":"Medicine; Perfusion; Parenteral nutrition; Oxygenation; In vivo; Internal medicine; Endocrinology; Lung; Biochemistry; Anesthesia; Chemistry; Biology","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":[0.0007038225,0.0007245868,0.0008399124,0.0001651897,0.0002436857,0.001224316,0.0004077348,0.0006426576,0.002617717],"category_scores_gemma":[0.0003602611,0.0001514493,0.0003581144,0.0002182602,0.0007084065,0.001051566,0.0003682605,0.001595974,0.0002095068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003236197,"about_ca_system_score_gemma":0.0007030439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003643576,"about_ca_topic_score_gemma":0.0004766512,"domain_scores_codex":[0.9997235,0.0001111539,0.00001638706,0.00005653033,0.00004411303,0.00004821036],"domain_scores_gemma":[0.9998201,0.00003024677,0.00004586169,0.00003517264,0.00001651298,0.00005207616],"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":[0.04115232,0.004154507,0.00211124,0.0004418591,0.0001379794,0.00008676878,0.0001050478,0.0008067249,0.8991742,0.0005960969,0.000592754,0.05064059],"study_design_scores_gemma":[0.002395286,0.04640282,0.01385112,0.0001659734,0.0005687809,0.0005751771,0.0003228011,0.00690654,0.9228815,0.0007876756,0.005101624,0.00004072275],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898601,0.002784738,0.005375443,0.0004781955,0.0002471854,0.0001060681,0.0001395503,0.00008312545,0.0009255764],"genre_scores_gemma":[0.9917194,0.001711422,0.004621937,0.0002206758,0.0001020389,0.0001587172,0.0002310359,0.00003128843,0.001203486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002617717,"threshold_uncertainty_score":0.008757114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027567024491894,"score_gpt":0.2920041249515518,"score_spread":0.2817284547066328,"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."}}