{"id":"W4385700132","doi":"10.1038/s41698-023-00428-2","title":"Chemokine expression predicts T cell-inflammation and improved survival with checkpoint inhibition across solid cancers","year":2023,"lang":"en","type":"article","venue":"npj Precision Oncology","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network; Ontario Institute for Cancer Research; University of British Columbia; McGill University and Génome Québec Innovation Centre; McGill University Health Centre; Canada's Michael Smith Genome Sciences Centre; McGill University","funders":"Fonds de Recherche du Québec - Santé; Canadian Cancer Society Research Institute; Terry Fox Research Institute; Hebrew University of Jerusalem; Genome British Columbia; Pancreatic Cancer Canada Foundation; Government of Ontario; BC Cancer Foundation; Ontario Institute for Cancer Research; Ministère de la Santé; Ministère de la Santé et des Services sociaux; Princess Margaret Cancer Foundation; McGill University","keywords":"Medicine; Oncology; Internal medicine; Cancer; CXCL9; Immune checkpoint; Chemokine; CCL5; Biomarker; CXCL10; Immunotherapy; Immune system; Inflammation; T cell; Immunology; Biology","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":[0.000522981,0.0002398789,0.0003945158,0.0002816727,0.0001762579,0.000416733,0.0001476135,0.0001968505,0.001178873],"category_scores_gemma":[0.0008662319,0.00007111489,0.0003316186,0.0003982645,0.000176937,0.0002311494,0.0003527277,0.0005718872,0.0001336308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002990256,"about_ca_system_score_gemma":0.0002450128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00106728,"about_ca_topic_score_gemma":0.001526879,"domain_scores_codex":[0.9998074,0.00005149512,0.00001642584,0.00005453304,0.00003229552,0.00003788545],"domain_scores_gemma":[0.9992896,0.0001272509,0.0002787723,0.00004551945,0.00008497602,0.0001738338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003089169,0.0000881636,0.9641746,0.00006012,0.00023054,0.00004787228,0.00002400807,0.0008725143,0.01234338,0.00005646303,0.0005305278,0.01848263],"study_design_scores_gemma":[0.00004692229,0.0009384861,0.9930174,0.00001048143,0.0002093233,0.0001936201,0.00006307133,0.002500964,0.002337567,0.0001459783,0.0005288504,0.000007283616],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981499,0.0008639691,0.0002744225,0.00006944114,0.00000960953,0.000007003901,0.0002699392,0.00001410217,0.000341638],"genre_scores_gemma":[0.9994424,0.00008747653,0.00008735216,0.00001905923,0.000007442756,0.000003089884,0.0002621618,0.000002125468,0.00008891936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001178873,"threshold_uncertainty_score":0.003943682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01988122971279481,"score_gpt":0.3255169520978146,"score_spread":0.3056357223850198,"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."}}