{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001992173,0.0008825171,0.001382511,0.003876133,0.0002299566,0.001971688,0.0005425409,0.0006211421,0.002493883],"category_scores_gemma":[0.002107392,0.0002818994,0.001084137,0.004438343,0.0003106762,0.001112057,0.0009708358,0.0007922854,0.001485087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003974675,"about_ca_system_score_gemma":0.0008817557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005575827,"about_ca_topic_score_gemma":0.000928641,"domain_scores_codex":[0.9984719,0.0002747569,0.0001198052,0.0003902481,0.0006480227,0.00009523686],"domain_scores_gemma":[0.9983638,0.0005787866,0.0002732313,0.0001598435,0.0005515236,0.00007277436],"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":[0.0008011529,0.0001240248,0.01321798,0.002377801,0.000703044,0.0006211742,0.0001776712,0.002923215,0.8278127,0.001781806,0.001893215,0.1475663],"study_design_scores_gemma":[0.0001443815,0.001018346,0.1067089,0.0006513827,0.001990448,0.004091487,0.0007077574,0.06718508,0.7410607,0.02198452,0.05407962,0.0003775365],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2076691,0.02880963,0.7196305,0.001552373,0.0004665751,0.0006013428,0.02546185,0.00415242,0.01165623],"genre_scores_gemma":[0.4768915,0.0218647,0.4710209,0.0008779783,0.0004802105,0.0008645792,0.02316055,0.0006208249,0.004218705],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003876133,"threshold_uncertainty_score":0.01053572,"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."}}