{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000507166,0.0004264352,0.0004618021,0.0006066539,0.0001288409,0.0007340179,0.0001519333,0.0003879705,0.0007709416],"category_scores_gemma":[0.0006206391,0.0001121426,0.0002334096,0.0004701716,0.0002224144,0.0004175362,0.0002538956,0.0003542556,0.0002211115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001762085,"about_ca_system_score_gemma":0.0001705497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002301619,"about_ca_topic_score_gemma":0.0002549007,"domain_scores_codex":[0.9997717,0.00005764461,0.00002086724,0.00006620632,0.00005181327,0.00003185451],"domain_scores_gemma":[0.999706,0.00006455859,0.0001369589,0.00002266274,0.00003911884,0.0000307384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002023578,0.0001633377,0.3143985,0.0001544828,0.000128223,0.0003157484,0.00008490044,0.000589662,0.6633655,0.00009268041,0.0001156331,0.01856787],"study_design_scores_gemma":[0.0000199932,0.001960448,0.7229788,0.00004087873,0.0001887281,0.001622457,0.0002985991,0.006598787,0.2649834,0.000300445,0.0009830681,0.00002432856],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925193,0.001640333,0.004769417,0.00008222459,0.00001263744,0.0000222076,0.0005929401,0.00003392919,0.0003270798],"genre_scores_gemma":[0.9955776,0.0006809674,0.002796863,0.0000588909,0.00001822779,0.00003370441,0.0006102808,0.000008447466,0.0002150049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007709416,"threshold_uncertainty_score":0.002682149,"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."}}