{"id":"W4386588802","doi":"10.1002/pmic.202200289","title":"Multi‐omic analyses and network biology in cardiovascular disease","year":2023,"lang":"en","type":"review","venue":"PROTEOMICS","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ted Rogers Centre for Heart Research; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Systems biology; Disease; Biological network; Biology; Systems medicine; Computational biology; Proteome; Proteomics; Omics; Metabolome; Workflow; Transcriptome; Bioinformatics; Data science; Metabolomics; Computer science; Medicine; Gene; Genetics; Pathology; Gene expression","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":[0.0005137466,0.0003864904,0.001179554,0.00010457,0.0000608288,0.00003806092,0.0002806428,0.0005105141,0.000001804401],"category_scores_gemma":[0.00006563564,0.000332299,0.0005823895,0.0002156366,0.00009609224,0.000002323568,0.0004125275,0.0002872722,0.00002439204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000297151,"about_ca_system_score_gemma":0.0001988441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003089764,"about_ca_topic_score_gemma":0.00002715021,"domain_scores_codex":[0.9982578,0.000145366,0.0005704903,0.0005353441,0.00006345291,0.0004275327],"domain_scores_gemma":[0.9989434,0.00002165529,0.0001896506,0.0006786782,0.00002306009,0.0001435894],"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":[0.00004366992,0.00004876098,0.0001323911,0.01089993,0.003170224,0.00002864847,0.000023262,0.002780422,0.00005709406,0.000136047,0.0009594735,0.9817201],"study_design_scores_gemma":[0.0003769039,0.00003996021,0.0000237701,0.00145935,0.000709408,0.00001192897,0.00000440584,0.001335405,0.000003497657,0.0004306145,0.9950288,0.0005759592],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008577436,0.9933588,0.005063106,0.000007325785,0.0001942711,0.001150769,0.00009751778,0.00001700017,0.00002542875],"genre_scores_gemma":[0.00003357069,0.9937578,0.004366773,0.00004202233,0.000544569,0.0002807665,0.0007870683,0.00007141807,0.0001159856],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9940693,"threshold_uncertainty_score":0.9999129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07083742339387093,"score_gpt":0.3470763138373785,"score_spread":0.2762388904435075,"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."}}