{"id":"W4362633521","doi":"10.1136/gutjnl-2022-328364","title":"Targeting PPAR-gamma counteracts tumour adaptation to immune-checkpoint blockade in hepatocellular carcinoma","year":2023,"lang":"en","type":"article","venue":"Gut","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Health and Medical Research Fund; Chinese University of Hong Kong; Merck Sharp and Dohme; Terry Fox Foundation; Li Ka Shing Foundation","keywords":"Cancer research; Tumor microenvironment; Immune checkpoint; Immunotherapy; Immune system; Cytotoxic T cell; Medicine; Pembrolizumab; CD8; Hepatocellular carcinoma; Cancer; Biology; Immunology; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0004802393,0.0001456519,0.0002402786,0.0002402159,0.00005563522,0.00002398139,0.00008962952,0.00006918347,0.0001299026],"category_scores_gemma":[0.0001069541,0.0001396401,0.0000965799,0.0005931695,0.00002067609,0.00006703637,0.00004046434,0.0001575399,0.0003530038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000192915,"about_ca_system_score_gemma":0.0001149076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001713517,"about_ca_topic_score_gemma":0.00007429184,"domain_scores_codex":[0.9986789,0.00003759543,0.0004174494,0.0002611093,0.0002595037,0.0003454686],"domain_scores_gemma":[0.9995216,0.00004595851,0.00007713953,0.0002070017,0.00005932269,0.00008898689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0009246534,0.00004773419,0.0323429,0.00006820763,0.00003012613,0.0002982651,0.003280396,0.00017208,0.9592729,0.000004243783,0.0008568689,0.002701668],"study_design_scores_gemma":[0.005629127,0.0005291573,0.6744076,0.0006064247,0.00005522194,0.00007653223,0.005246684,0.04635226,0.2274775,0.00005623982,0.03903016,0.0005331192],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956279,0.000726681,0.00007747706,0.00209476,0.0003341107,0.0004942794,0.000007151151,0.0001062537,0.0005313502],"genre_scores_gemma":[0.9977962,0.00008242863,0.0002560975,0.0003577518,0.0001736927,0.00005784347,0.00008921498,0.00003117869,0.001155635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7317954,"threshold_uncertainty_score":0.5694357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0275483769946172,"score_gpt":0.27037518312255,"score_spread":0.2428268061279328,"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."}}