{"id":"W2005611879","doi":"10.1097/ccm.0000000000000142","title":"Metabolic Profiling of Serum Samples by 1H Nuclear Magnetic Resonance Spectroscopy as a Potential Diagnostic Approach for Septic Shock*","year":2013,"lang":"en","type":"article","venue":"Critical Care Medicine","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Alberta Innovates - Health Solutions","keywords":"Septic shock; Medicine; Receiver operating characteristic; Metabolomics; Intensive care; Internal medicine; Sepsis; Intensive care medicine; Bioinformatics; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001008491,0.0005450228,0.0003467294,0.0009007453,0.0001591095,0.0004759627,0.0002102803,0.0004633392,0.0005796407],"category_scores_gemma":[0.001587572,0.0001356449,0.0001738028,0.0006255485,0.0003498578,0.0002503586,0.000219128,0.0003279561,0.0001753997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002222527,"about_ca_system_score_gemma":0.0003752134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003718373,"about_ca_topic_score_gemma":0.0007873286,"domain_scores_codex":[0.9995771,0.0002197867,0.00002602891,0.00006193836,0.00008705645,0.00002808133],"domain_scores_gemma":[0.9993497,0.0002279559,0.0002358339,0.00003089004,0.00009926577,0.00005632615],"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":[0.004859497,0.0004398399,0.2638921,0.0004487745,0.0001520712,0.0004540918,0.0001306669,0.00154847,0.6661123,0.0002217794,0.0003527302,0.06138756],"study_design_scores_gemma":[0.0001719709,0.005536648,0.6604272,0.0001268841,0.0003067906,0.002277615,0.0004312007,0.02440704,0.3035766,0.0008749866,0.001776138,0.00008706287],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810758,0.003604762,0.01344692,0.000466911,0.00004057394,0.00006597782,0.0003872569,0.00009694089,0.0008148624],"genre_scores_gemma":[0.9871502,0.001085514,0.01107494,0.0001671573,0.00003478188,0.00004580983,0.0002210349,0.00000628241,0.0002141982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001008491,"threshold_uncertainty_score":0.005333483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009537127474248489,"score_gpt":0.2683805803979599,"score_spread":0.2588434529237114,"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."}}