{"id":"W3188520353","doi":"10.1016/j.isci.2021.102925","title":"A panoramic view of proteomics and multiomics in precision health","year":2021,"lang":"en","type":"review","venue":"iScience","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"National Institute of General Medical Sciences; Canadian Institutes of Health Research; National Institutes of Health; Chan Zuckerberg Initiative; Simons Foundation Autism Research Initiative; Silicon Valley Community Foundation; Simons Foundation","keywords":"Disease; Computational biology; Genomics; Data science; Genome; Proteomics; Precision medicine; Biology; Bioinformatics; Computer science; Genetics; Medicine; Gene; Pathology","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":[],"consensus_categories":[],"category_scores_codex":[0.0004994503,0.0001553609,0.0006184079,0.00005684983,0.00003215379,0.00002381613,0.0002283972,0.0001829365,0.000001345776],"category_scores_gemma":[0.00004162606,0.0001276393,0.00008972164,0.0002047068,0.0001050444,0.000002917841,0.0002548361,0.00012984,0.000001087732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002422236,"about_ca_system_score_gemma":0.0005342392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001991843,"about_ca_topic_score_gemma":0.00004445035,"domain_scores_codex":[0.998859,0.00006543708,0.0005092308,0.0002906768,0.00008430579,0.0001913441],"domain_scores_gemma":[0.9992849,0.00001537754,0.0003121071,0.0003026377,0.00002931734,0.00005569054],"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":[0.000001045785,0.00001582037,0.00000486306,0.002198048,0.000005337815,4.388034e-7,0.00003608469,0.000005628743,0.00006751527,0.00004381896,0.00006300242,0.9975584],"study_design_scores_gemma":[0.0001520242,0.0001250291,0.00001326389,0.006454618,0.0000160354,0.00004415682,0.00002354649,0.0004086388,0.00005048531,0.00004695224,0.9924375,0.0002277471],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000385846,0.9967312,0.00218147,0.0000137168,0.00008462564,0.0005231115,0.00002737035,0.000001471639,0.00005118044],"genre_scores_gemma":[0.0001580091,0.9928952,0.006722382,0.00005222873,0.00002927745,0.0000196479,0.00006530691,0.0000100151,0.00004789619],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9973307,"threshold_uncertainty_score":0.520498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02756177795267659,"score_gpt":0.329750698536146,"score_spread":0.3021889205834694,"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."}}