{"id":"W2521772820","doi":"10.1097/sla.0000000000002016","title":"Metabolic Profile of Ex Vivo Lung Perfusate Yields Biomarkers for Lung Transplant Outcomes","year":2016,"lang":"en","type":"article","venue":"Annals of Surgery","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Metabolomics Innovation Centre; University of Alberta; Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Lung; Ex vivo; Lung transplantation; In vivo; Internal medicine; Intensive care medicine; Biotechnology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001063411,0.0001942098,0.0009259265,0.0002914679,0.00003396332,0.000004281913,0.00008141701,0.0001175374,0.0002984519],"category_scores_gemma":[0.0002099636,0.0001178481,0.0006434339,0.0001697914,0.0001018812,0.0001361191,0.000006747148,0.00005506598,0.00000209196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004825917,"about_ca_system_score_gemma":0.0001216384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006076284,"about_ca_topic_score_gemma":0.000004323005,"domain_scores_codex":[0.9983878,0.00007921478,0.0006880012,0.0002329213,0.0002780145,0.0003340897],"domain_scores_gemma":[0.996999,0.002159748,0.000232777,0.0002707578,0.000214224,0.0001235409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001038561,0.0001311731,0.9007196,0.001503448,0.0009049762,0.00001640451,0.0003291691,3.630792e-7,0.0734477,0.0005492923,0.004861255,0.016498],"study_design_scores_gemma":[0.0009732048,0.00005025668,0.5607628,0.0006953848,0.0003901212,0.00001309841,0.00004787948,0.00003435688,0.4353211,0.00007521744,0.001463619,0.0001730118],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808694,0.002395405,0.008125683,0.006272958,0.0004406752,0.0005746574,0.0007511657,0.00004891938,0.0005211332],"genre_scores_gemma":[0.9907559,0.003459119,0.004149941,0.0004753693,0.00007257559,0.00004258288,0.00003315852,0.00003345313,0.0009779243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3618734,"threshold_uncertainty_score":0.4805707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1696118819177758,"score_gpt":0.3857950306027012,"score_spread":0.2161831486849254,"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."}}