{"id":"W4323825245","doi":"10.1073/pnas.2215376120","title":"MYC-driven synthesis of Siglec ligands is a glycoimmune checkpoint","year":2023,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Center for Research Resources; National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; National Cancer Institute; Government of Canada; Canadian Institutes of Health Research; American Society of Hematology; American Cancer Society; Leukemia and Lymphoma Society; Chemistry, Engineering and Medicine for Human Health, Stanford University; National Institute on Aging; Lymphoma Research Foundation; Emerson Collective","keywords":"SIGLEC; G2-M DNA damage checkpoint; Chemistry; Cell biology; Computational biology; Cell cycle checkpoint; Biology; Receptor; Biochemistry; Cell; Cell cycle","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":[0.00008060034,0.0002037605,0.0001141425,0.0000905222,0.0001003003,0.0002534679,0.00008557314,0.0002068717,0.001175563],"category_scores_gemma":[0.000091555,0.00008610503,0.0001739937,0.00006876011,0.0001453507,0.0001627356,0.0001717965,0.0003483744,0.0003587797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003931878,"about_ca_system_score_gemma":0.0001500145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003060755,"about_ca_topic_score_gemma":0.0004322819,"domain_scores_codex":[0.9999362,0.000009319321,0.000004850308,0.00001713304,0.00001545176,0.00001699451],"domain_scores_gemma":[0.9999106,0.00001389156,0.00002673913,0.0000112814,0.00001362068,0.00002388123],"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":[0.00005628907,0.000006484739,0.0002143845,0.00001250569,0.000001739312,0.00002720031,0.00000342912,0.00004802837,0.9982309,0.0002629318,0.00005920037,0.001076949],"study_design_scores_gemma":[0.000006042597,0.0001143406,0.002113006,0.000001966057,0.000002593345,0.0001294452,0.000009734997,0.000634642,0.9938945,0.0001191469,0.002972522,0.000001972003],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874415,0.001445963,0.007045837,0.0002524506,0.0000454033,0.00002176438,0.0004156142,0.0002478196,0.003083535],"genre_scores_gemma":[0.994527,0.0004425309,0.001669245,0.00007670844,0.000006688093,0.00001139608,0.0002988628,0.00002185169,0.002945686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001175563,"threshold_uncertainty_score":0.003932595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03937373391627349,"score_gpt":0.3247808938545171,"score_spread":0.2854071599382436,"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."}}