{"id":"W2484877107","doi":"10.1371/journal.pone.0159724","title":"Control of the Inflammatory Macrophage Transcriptional Signature by miR-155","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Immune cells in cancer","field":"Immunology and Microbiology","cited_by":153,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; National Institutes of Health; National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research; Ohio State University","keywords":"Inflammation; Biology; Macrophage; microRNA; Knockout mouse; Tumor necrosis factor alpha; Gene expression; Proinflammatory cytokine; Cell biology; Lipopolysaccharide; Regulation of gene expression; Gene expression profiling; Gene knockout; miR-155; Molecular biology; Immunology; Gene; In vitro; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001170054,0.0001095494,0.0001991239,0.00002234393,0.00007104512,0.000002242316,0.000297122,0.0002406925,0.002556061],"category_scores_gemma":[0.00004629313,0.00006227069,0.0000872262,0.00004568044,0.0003519185,0.00004718834,0.00002707855,0.000232807,0.0002675821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003781035,"about_ca_system_score_gemma":0.00004758529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004266215,"about_ca_topic_score_gemma":0.000002231688,"domain_scores_codex":[0.9992257,0.0001452514,0.0002107089,0.0001487227,0.00006309164,0.0002065621],"domain_scores_gemma":[0.9994075,0.0001298875,0.00009568756,0.0002901409,0.00006754104,0.000009283943],"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":[0.0001501505,0.0002993456,0.001171984,0.00003151073,0.0004124014,6.411908e-7,0.00007353243,3.618766e-7,0.9910142,0.0004600459,0.006011107,0.0003747083],"study_design_scores_gemma":[0.002159448,0.00004822495,0.003017816,0.0001309333,0.00008948532,0.000002809929,0.000006894839,4.112143e-7,0.9746177,0.0001119771,0.01972216,0.0000922019],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804049,0.01569959,0.0001243218,0.001735199,0.0005085189,0.0003425583,0.0003754361,0.0000390516,0.0007704163],"genre_scores_gemma":[0.9860715,0.00008386704,0.00001879051,0.0003431691,0.00002894028,0.00002984279,0.000009805406,0.00001507041,0.01339903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01639658,"threshold_uncertainty_score":0.9983557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009187380995170583,"score_gpt":0.1765324328003698,"score_spread":0.1673450518051992,"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."}}