{"id":"W3035726067","doi":"10.1186/s13059-020-02050-y","title":"Dynamic rewiring of the human interactome by interferon signaling","year":2020,"lang":"en","type":"article","venue":"Genome biology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Canada; Canadian Institutes of Health Research; Killam Trusts; Genome British Columbia; Northwestern University","keywords":"Interactome; Biology; Interferon; Proteome; Protein–protein interaction; Transcriptome; Computational biology; Interferon-stimulated gene; STAT1; Human proteome project; Signal transduction; Gene regulatory network; Human genetics; Gene; Interaction network; Proteomics; Ribosomal protein; Transcription factor; Cell biology; Genetics; Gene expression; RNA; Receptor; Innate immune system; Ribosome","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000166686,0.0002365146,0.0003003519,0.00141361,0.0003281013,0.0005764345,0.000202119,0.0002324429,0.001343154],"category_scores_gemma":[0.000638472,0.0001619244,0.0003578673,0.001465024,0.0003560041,0.0006077336,0.0005001828,0.0002681222,0.0003318622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004612344,"about_ca_system_score_gemma":0.0002286176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001279893,"about_ca_topic_score_gemma":0.001931362,"domain_scores_codex":[0.9997656,0.00004103968,0.0000100461,0.0001018711,0.00005400947,0.00002751941],"domain_scores_gemma":[0.9996563,0.0001363114,0.00009416917,0.00004256288,0.00003655982,0.00003407249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001292949,0.0001126655,0.1578148,0.0006649574,0.000531901,0.00165913,0.0009729925,0.02906181,0.6686697,0.01743997,0.005571954,0.1162071],"study_design_scores_gemma":[0.0000357887,0.0001647211,0.6044003,0.0001192668,0.0003880385,0.003297183,0.0008826786,0.1894698,0.1013966,0.05349246,0.04627561,0.00007753113],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9603347,0.002518566,0.02742891,0.0004511102,0.00001511688,0.00002349682,0.004095751,0.0004818158,0.004650531],"genre_scores_gemma":[0.9781069,0.001266103,0.01476625,0.0001207695,0.00002164416,0.00004391543,0.004649255,0.00006568683,0.000959339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00141361,"threshold_uncertainty_score":0.004493296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009390371422394846,"score_gpt":0.2378739412549327,"score_spread":0.2284835698325379,"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."}}