{"id":"W2133950045","doi":"10.1186/1559-0275-11-45","title":"Integration of omics sciences to advance biology and medicine","year":2014,"lang":"en","type":"article","venue":"Clinical Proteomics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Microbiology and Infectious Diseases, National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences; National Cancer Institute; Perelman School of Medicine, University of Pennsylvania; National Institutes of Health; Seoul National University; University of Pennsylvania; Génome Québec; College of Medicine, Seoul National University; University of Texas Southwestern Medical Center; Johns Hopkins University; National Heart, Lung, and Blood Institute; Boise State University; School of Medicine, Boston University; Korea Institute of Science and Technology; Wellcome Trust","keywords":"Omics; Systems biology; Proteomics; Systems medicine; Data integration; Limiting; Precision medicine; Computational biology; Data science; Bioinformatics; Biology; Medicine; Computer science; Pathology; Engineering; Data mining","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06573196,0.002137315,0.002776104,0.008063502,0.002183096,0.01390651,0.003188914,0.003950334,0.008086674],"category_scores_gemma":[0.04734467,0.001096049,0.002518134,0.006838069,0.005621884,0.01955144,0.01995806,0.01195815,0.002873042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005193072,"about_ca_system_score_gemma":0.01208295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001729868,"about_ca_topic_score_gemma":0.002070345,"domain_scores_codex":[0.975839,0.01286006,0.001794674,0.001692611,0.006952484,0.0008610257],"domain_scores_gemma":[0.9499457,0.02917963,0.00166885,0.007414263,0.008475918,0.003315519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002536933,0.0002539562,0.00287353,0.003674103,0.0006068982,0.0004136481,0.004147207,0.003297351,0.007466119,0.5461388,0.05589097,0.3749837],"study_design_scores_gemma":[0.0000383907,0.0001001777,0.00190766,0.001837611,0.0001130121,0.0002756365,0.001152441,0.00272851,0.00173827,0.5172694,0.4727454,0.00009343003],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.006882456,0.1022785,0.594373,0.2243251,0.008532206,0.0006408987,0.0009466749,0.002027307,0.05999381],"genre_scores_gemma":[0.0957768,0.1011754,0.7165328,0.06321675,0.009977887,0.0008713427,0.002264786,0.0007963703,0.009387891],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.06573196,"threshold_uncertainty_score":0.347628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02969669936545722,"score_gpt":0.3725294178189829,"score_spread":0.3428327184535257,"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."}}