{"id":"W2013154342","doi":"10.1517/17530059.2.5.497","title":"Integrated analysis of transcriptomics and metabolomics profiles","year":2008,"lang":"en","type":"article","venue":"Expert Opinion on Medical Diagnostics","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Allison University; National Research Council Canada","funders":"","keywords":"Metabolomics; Computational biology; Data science; Medicine; Computer science; Biology; Bioinformatics","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":[0.0001957398,0.0001813259,0.0004465565,0.0001887224,0.00008164294,0.000005646823,0.0001710471,0.0002052123,0.00007153899],"category_scores_gemma":[0.001844402,0.0001460788,0.0001488956,0.0003832162,0.0003173635,0.0000025158,0.00007218859,0.0001352473,0.000001476487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007490168,"about_ca_system_score_gemma":0.00008552775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003130965,"about_ca_topic_score_gemma":0.00001369851,"domain_scores_codex":[0.9987358,0.00006968682,0.0003445092,0.0003264318,0.0003242192,0.0001993125],"domain_scores_gemma":[0.9992332,0.0001501976,0.00008879609,0.00025158,0.0001022523,0.0001739433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002013711,0.005346153,0.1630058,0.000174576,0.02127236,0.0001231537,0.004732208,0.0003234353,0.4200991,0.07069186,0.2192552,0.09296241],"study_design_scores_gemma":[0.002467816,0.00138345,0.07006467,0.0000731636,0.0002768462,0.00003195377,0.000638938,0.003225168,0.1557843,0.0001308426,0.7651134,0.0008094608],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9631109,0.02815419,0.00623602,0.0009643139,0.0006751759,0.0002032717,0.0001630035,0.00001909434,0.000474077],"genre_scores_gemma":[0.6813278,0.3149418,0.002106049,0.0009879601,0.0001935331,0.0000253493,0.0003581491,0.0000176558,0.00004167173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5458581,"threshold_uncertainty_score":0.5956922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02144481847158842,"score_gpt":0.2869627483573407,"score_spread":0.2655179298857523,"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."}}