{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004269711,0.0002086437,0.0005789484,0.0001869489,0.0001363457,0.000006429899,0.0004432355,0.000401427,0.0001075549],"category_scores_gemma":[0.00008311913,0.0001587251,0.00007117335,0.00019423,0.0008900786,0.00005568086,0.0003434261,0.0004949056,0.00001398191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001757934,"about_ca_system_score_gemma":0.0001831025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001186595,"about_ca_topic_score_gemma":0.0001240528,"domain_scores_codex":[0.9979904,0.0006764398,0.0004958549,0.0003871321,0.00003459754,0.0004155848],"domain_scores_gemma":[0.9988891,0.0003537671,0.0002182465,0.000462915,0.00006122411,0.00001475338],"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":[0.0009143359,0.0001401999,0.003870458,0.00006070704,0.0001466793,0.000005340614,0.001202175,0.00006008102,0.9258486,0.0000808464,0.04725881,0.02041175],"study_design_scores_gemma":[0.002428799,0.0001998497,0.004768008,0.00006535099,0.00004422406,0.00000584921,0.0005962417,0.00001832982,0.8486654,0.000826171,0.1422406,0.0001412392],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9575015,0.02711732,0.003027872,0.001042884,0.007466458,0.0005914344,0.00004368285,0.00003941076,0.003169415],"genre_scores_gemma":[0.9918186,0.001359941,0.001898187,0.0006470162,0.00001970297,0.00008298824,0.00002544448,0.00001985009,0.004128285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0949818,"threshold_uncertainty_score":0.647262,"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."}}