{"id":"W2911288043","doi":"10.1073/pnas.1819473116","title":"Reactive oxygen species modulate macrophage immunosuppressive phenotype through the up-regulation of PD-L1","year":2019,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Immune cells in cancer","field":"Immunology and Microbiology","cited_by":208,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"Institute of Cancer Research; Generalitat de Catalunya; National Cancer Institute; Government of Canada; Canadian Institutes of Health Research; Susan G. Komen","keywords":"Cancer research; Tumor microenvironment; Blockade; Paclitaxel; Immune system; Reactive oxygen species; Immune checkpoint; CCL3; Immunology; Chemokine; Cancer; Pharmacology; Chemistry; Biology; Medicine; Receptor; Immunotherapy; CCL2; Cell biology; Internal medicine","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":[0.0007151761,0.0001189503,0.0002219826,0.00007500379,0.0002313672,0.00001027849,0.001082387,0.0001561061,0.0002986122],"category_scores_gemma":[0.0002218053,0.00006848992,0.0001075316,0.0004563164,0.001862888,0.0004488418,0.0002636518,0.0002700159,0.00002028131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004819471,"about_ca_system_score_gemma":0.00004737466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002772512,"about_ca_topic_score_gemma":4.666095e-8,"domain_scores_codex":[0.9988576,0.00002415745,0.0003845721,0.0002336213,0.0003200407,0.000180044],"domain_scores_gemma":[0.9984713,0.0002289672,0.0008518257,0.0000275594,0.0004158809,0.00000447016],"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":[0.0001031228,0.00002508112,0.0006559596,0.00003467451,0.00007508715,9.836619e-10,0.001480627,0.0003193619,0.9550949,0.04118322,0.0009138178,0.000114141],"study_design_scores_gemma":[0.0002995305,0.00004863684,0.1039655,0.00007524747,0.00002067912,0.000004890746,0.0007278481,0.00004620764,0.859256,0.03373826,0.001746405,0.0000707683],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673197,0.001668824,0.00000126501,0.001325967,0.0002805674,0.000357054,0.00003344001,0.000008756642,0.02900439],"genre_scores_gemma":[0.9950311,0.00005681448,0.0001609761,0.0001188471,0.0000313516,0.000007980816,0.000001138409,0.000005779754,0.004586031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1033095,"threshold_uncertainty_score":0.6863887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02520875208126672,"score_gpt":0.2752292632894832,"score_spread":0.2500205112082164,"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."}}