{"id":"W4392456271","doi":"10.1016/j.cell.2024.02.005","title":"Neutrophil profiling illuminates anti-tumor antigen-presenting potency","year":2024,"lang":"en","type":"article","venue":"Cell","topic":"Immune cells in cancer","field":"Immunology and Microbiology","cited_by":408,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Infection and Immunity","funders":"Program of Shanghai Academic Research Leader; Science and Technology Commission of Shanghai Municipality; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Biology; Antigen; Immunology; Antigen presentation; Cancer immunotherapy; Immune system; Cancer; Neutrophil extracellular traps; Immunotherapy; Inflammation; Transcriptome; Cancer research; T cell; Gene; Genetics; Gene expression","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000190148,0.000202835,0.0002284462,0.0001296727,0.000172277,0.00005544471,0.0003071743,0.0001561581,0.001379755],"category_scores_gemma":[0.00002260069,0.0001841181,0.000129053,0.0002210941,0.0001969619,0.0001253148,0.0001778369,0.0004572674,0.006765957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003812441,"about_ca_system_score_gemma":0.00008365138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004353254,"about_ca_topic_score_gemma":7.152109e-7,"domain_scores_codex":[0.9986543,0.00008369221,0.0002798962,0.0004339638,0.00003539567,0.0005127323],"domain_scores_gemma":[0.9994328,0.00009883816,0.00005840057,0.0003425541,0.0000509671,0.00001644612],"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":[0.000007218549,0.00004181587,0.0009673773,0.0002093449,0.0000494203,0.00009296365,0.0002906563,0.000013392,0.9923477,0.0002636049,0.004611325,0.001105154],"study_design_scores_gemma":[0.0002251475,0.0000275489,0.0005304947,0.00006975017,0.00002384601,0.00007251383,0.0001716235,0.00005530994,0.8430492,0.0001288484,0.1554398,0.0002058513],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8863382,0.05861573,0.00009940741,0.00015512,0.006476187,0.0002600333,0.00001605874,0.0002747971,0.04776447],"genre_scores_gemma":[0.9718912,0.0004298538,0.0002404969,0.00009704112,0.0001352209,0.00001336798,0.00005508676,0.00004919592,0.0270885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1508285,"threshold_uncertainty_score":0.9995331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009691155251609584,"score_gpt":0.2367595479258055,"score_spread":0.227068392674196,"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."}}