{"id":"W2146320619","doi":"10.1586/erc.12.121","title":"Metabolomic profiling as a useful tool for diagnosis and treatment of chronic disease: focus on obesity, diabetes and cardiovascular diseases","year":2012,"lang":"en","type":"review","venue":"Expert Review of Cardiovascular Therapy","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Canadian Institutes of Health Research","keywords":"Metabolomics; Medicine; Disease; Profiling (computer programming); Metabolite; Metabolite profiling; Metabolome; Computational biology; Bioinformatics; Limiting; Diabetes mellitus; Type 2 diabetes; Intensive care medicine; Pathology; Internal medicine; Computer science; Endocrinology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000707367,0.0008309485,0.005296611,0.0001329687,0.0001005803,0.00002115466,0.0002511208,0.0002135146,0.00001122995],"category_scores_gemma":[0.0001543133,0.0005790661,0.006593517,0.0001685608,0.0001904824,0.00001051837,0.0001399334,0.00007340804,0.000001084703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005609426,"about_ca_system_score_gemma":0.0001924881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001087674,"about_ca_topic_score_gemma":3.445338e-7,"domain_scores_codex":[0.9968846,0.0005165872,0.0007795061,0.0009673676,0.0004015925,0.0004503446],"domain_scores_gemma":[0.9976137,0.0001063939,0.0003519075,0.001593859,0.0001438316,0.0001903153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002728793,0.0002942988,0.0001241706,0.03055579,0.02948575,0.000001975637,0.00000931663,0.000001175528,0.0000352676,0.00008226672,0.00006313313,0.9393196],"study_design_scores_gemma":[0.0009648055,0.0008448,0.00006032657,0.009151712,0.01224797,0.000006429891,0.000003540887,5.329876e-7,0.002146515,0.0000260715,0.9739829,0.0005643872],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001692973,0.9931265,0.00006765341,0.0000192638,0.0002018039,0.004484486,0.0003816657,0.00001129569,0.00001443411],"genre_scores_gemma":[0.0006402612,0.9936915,0.0002555252,0.00004055527,0.0008338899,0.004159663,0.0002533369,0.0001107234,0.00001454411],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9739197,"threshold_uncertainty_score":0.9996661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03121626023649144,"score_gpt":0.3132975408506408,"score_spread":0.2820812806141494,"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."}}