{"id":"W4411531706","doi":"10.3389/fonc.2025.1570121","title":"CD16 and Siglec expression refine the phenotypic heterogeneity of steady-state myeloid-derived suppressor cells","year":2025,"lang":"en","type":"article","venue":"Frontiers in Oncology","topic":"Immune cells in cancer","field":"Immunology and Microbiology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Glycomics Network; Academia Sinica; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Newcastle University; University of Alberta","keywords":"SIGLEC; Phenotype; Suppressor; Steady state (chemistry); Myeloid; Cancer research; Biology; Cell biology; Immunology; Genetics; Chemistry; Cancer; Immune system; Gene","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":[0.0001288461,0.000163907,0.0001286196,0.0004001225,0.00009911142,0.0003005542,0.0001062767,0.0001759674,0.001980898],"category_scores_gemma":[0.0001902105,0.00008434921,0.0001143091,0.000176865,0.0001323599,0.0001220782,0.0002107355,0.0001868285,0.0003254814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009951049,"about_ca_system_score_gemma":0.0000731117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002705429,"about_ca_topic_score_gemma":0.0003721366,"domain_scores_codex":[0.9999171,0.00001474419,0.000009764591,0.00002196555,0.00001646811,0.00001993227],"domain_scores_gemma":[0.9999135,0.00001694622,0.00002637114,0.0000099542,0.00001546648,0.00001779667],"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":[0.0003621297,0.00002698935,0.03430952,0.00004612424,0.00001301673,0.00009453652,0.00008468891,0.00005294983,0.9597876,0.0001270954,0.00004933777,0.005045921],"study_design_scores_gemma":[0.00005823068,0.00115408,0.6463659,0.00004094954,0.0001091649,0.004033629,0.0004247965,0.00169667,0.3407054,0.0005479923,0.0048469,0.00001622404],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988218,0.0005114205,0.0003492116,0.00001138788,0.000001846235,0.000005175721,0.00007547544,0.000006109806,0.0002173901],"genre_scores_gemma":[0.998926,0.0001631869,0.0003789768,0.00001068806,0.000005535751,0.000006970205,0.0001576851,0.000002599558,0.0003483694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001980898,"threshold_uncertainty_score":0.006626785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008696211949152368,"score_gpt":0.2548807672125734,"score_spread":0.246184555263421,"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."}}