{"id":"W4401420128","doi":"10.1016/j.cell.2024.07.004","title":"Anti-LAG-3 boosts CD8 T cell effector function","year":2024,"lang":"en","type":"letter","venue":"Cell","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Genentech; Moderna; Foghorn Therapeutics; Mallinckrodt Pharmaceuticals; Eli Lilly and Company; Bristol-Myers Squibb","keywords":"Biology; Effector; Lag; Blockade; Immune system; CD8; Function (biology); Melanoma; Immune checkpoint; Immunology; Cancer research; Immunotherapy; Cell biology; Genetics; Receptor","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000116114,0.0003738968,0.0004810759,0.0002044822,0.00004784553,0.00006061664,0.0001198764,0.0008306222,0.001637002],"category_scores_gemma":[0.000004266315,0.0003025835,0.0004108383,0.0002050843,0.00006737312,0.00003380506,0.00003702074,0.001412033,0.003199132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001837785,"about_ca_system_score_gemma":0.0001438015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005805873,"about_ca_topic_score_gemma":0.000001956243,"domain_scores_codex":[0.9984108,0.00005154219,0.0002800832,0.0005288169,0.0003508644,0.0003779322],"domain_scores_gemma":[0.9992008,0.00007392195,0.0001030382,0.0005167326,0.00004481382,0.00006065566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002572798,0.00003758726,0.00003597367,0.002657437,0.0001189778,0.0005739788,0.00003623245,8.187014e-8,0.1231095,8.120406e-8,0.8717458,0.00142713],"study_design_scores_gemma":[0.001289861,0.0004324582,0.0002645599,0.0004334924,0.0005501888,0.00003744197,0.000007734879,0.000006394503,0.03793395,0.000007644185,0.9587291,0.0003071329],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.06481455,0.08511563,0.0001277547,0.6129537,0.03380042,0.003536347,0.0003737458,0.001175083,0.1981028],"genre_scores_gemma":[0.0152265,0.0009017614,0.00004134105,0.7050569,0.01130667,0.00005816743,0.001320168,0.0002116792,0.2658768],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.09210323,"threshold_uncertainty_score":0.9999426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01134382632474633,"score_gpt":0.2368957485599344,"score_spread":0.2255519222351881,"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."}}