{"id":"W4411417552","doi":"10.1136/jitc-2025-012391","title":"Tumor glyco-immunology, glyco-immune checkpoints and immunotherapy","year":2025,"lang":"en","type":"review","venue":"Journal for ImmunoTherapy of Cancer","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Glycomics Network; Canadian Institutes of Health Research; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Mizutani Foundation for Glycoscience","keywords":"Immunotherapy; Immune system; Tumor microenvironment; Cancer immunotherapy; Cancer; Context (archaeology); Immune checkpoint; Immunology; Medicine; Cancer research; Cancer immunology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000395348,0.0008212282,0.0009252699,0.001688911,0.0002495323,0.001033298,0.0005834789,0.001155538,0.003094335],"category_scores_gemma":[0.0003397428,0.0002407496,0.0003449691,0.001720479,0.0003734709,0.001162895,0.0005724225,0.002112827,0.002758977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007448796,"about_ca_system_score_gemma":0.0008304133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006293965,"about_ca_topic_score_gemma":0.001016922,"domain_scores_codex":[0.9998796,0.00002004987,0.00001219522,0.00001739211,0.00005087494,0.0000198322],"domain_scores_gemma":[0.9998757,0.00003811937,0.00001680333,0.000005412099,0.00003989294,0.00002402967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001009267,0.0001058888,0.0001324201,0.01057745,0.00006044259,0.0002044977,0.00004276464,0.0004829064,0.0057289,0.007823644,0.04868642,0.9260538],"study_design_scores_gemma":[0.000009649985,0.00006578532,0.0003543708,0.001106116,0.0000325223,0.0006839478,0.00002787662,0.00007827263,0.0008338622,0.002497421,0.9942994,0.00001075311],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001469819,0.9971404,0.000219174,0.0004161318,0.0004829872,0.000007253771,0.00002148279,0.00001294744,0.001552578],"genre_scores_gemma":[0.0008276489,0.9969933,0.000231609,0.0002492322,0.0002617315,0.000009532459,0.00004429154,0.00000220255,0.001380364],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003094335,"threshold_uncertainty_score":0.0103516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02358744471233054,"score_gpt":0.3899546320237682,"score_spread":0.3663671873114376,"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."}}