{"id":"W3159826346","doi":"10.1152/ajplung.00077.2021","title":"ARDS metabolic fingerprints: characterization, benchmarking, and potential mechanistic interpretation","year":2021,"lang":"en","type":"article","venue":"American Journal of Physiology-Lung Cellular and Molecular Physiology","topic":"Intensive Care Unit Cognitive Disorders","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec; University of Calgary","funders":"Cumming School of Medicine, University of Calgary; Alberta Innovates - Health Solutions","keywords":"ARDS; Medicine; Metabolomics; Internal medicine; Bioinformatics; Biology; Lung","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":[0.0001293108,0.000228896,0.0007549282,0.0001934112,0.000075137,0.00001484461,0.00007350399,0.00008267588,0.00007373744],"category_scores_gemma":[0.0005558493,0.0002103859,0.0001936119,0.0002075762,0.0004936005,0.00007084337,0.00009733081,0.0003326687,0.000002296584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002189704,"about_ca_system_score_gemma":0.0001547683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006933999,"about_ca_topic_score_gemma":3.296922e-7,"domain_scores_codex":[0.9984872,0.0003518384,0.0004004387,0.0003526891,0.0001442904,0.0002635141],"domain_scores_gemma":[0.9966184,0.00006340022,0.0004400917,0.0001784508,0.002551485,0.0001481202],"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":[0.000380951,0.00008264815,0.00008468785,0.00005607274,0.0004151067,0.0001437677,0.0002416173,0.00001115936,0.9902008,0.0004918641,0.00002792722,0.007863445],"study_design_scores_gemma":[0.003092985,0.003045416,0.2399861,0.0003845808,0.001797694,0.002066312,0.003073832,0.003840539,0.7383881,0.002595998,0.001061847,0.0006665823],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9615119,0.001097448,0.0364265,0.0004762423,0.0002920481,0.0001193929,0.00001024891,0.00001026226,0.00005594404],"genre_scores_gemma":[0.9906741,0.00081955,0.0009331201,0.007161974,0.0001708635,0.000004663262,0.000190048,0.00002956646,0.00001613231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2518126,"threshold_uncertainty_score":0.8579288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002721678725960231,"score_gpt":0.2259201415121699,"score_spread":0.2231984627862097,"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."}}