{"id":"W4411295358","doi":"10.1101/2025.06.10.658684","title":"An ultrasensitive and modular platform to detect Siglec ligands and control immune cell function","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Biochemical and Structural Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Children's Hospital; University of Alberta","funders":"Canadian Glycomics Network; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"SIGLEC; Liposome; Cell biology; Chemistry; Immune system; CD22; Function (biology); Cell; Receptor; Biology; Biochemistry; Immunology","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":[0.0003301921,0.0003902263,0.0001786753,0.0003125971,0.0001363119,0.0003649578,0.0003022798,0.000504063,0.001214477],"category_scores_gemma":[0.0001657776,0.0002524858,0.0002308965,0.0001478662,0.0003021798,0.0003701095,0.0004167284,0.0007388999,0.0006372025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003564769,"about_ca_system_score_gemma":0.0001971593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001976856,"about_ca_topic_score_gemma":0.0002248016,"domain_scores_codex":[0.9998367,0.00002332825,0.000008074557,0.00004287152,0.00005953683,0.00002934939],"domain_scores_gemma":[0.9999081,0.00001980578,0.00002050896,0.0000155983,0.00001649198,0.00001953635],"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":[0.00001376748,0.000009021497,0.00003146224,0.00001023855,0.000001818105,0.00001117175,0.000003429194,0.0001152149,0.99826,0.0002736063,0.0000946165,0.001175709],"study_design_scores_gemma":[0.000008311158,0.00004889511,0.000192329,0.000001463976,0.000003523693,0.00004060864,0.000003257003,0.00179168,0.9955854,0.0001122304,0.002208152,0.000004118075],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8105075,0.002085464,0.1797532,0.0006306594,0.0002509519,0.0002132033,0.0008472662,0.001520166,0.004191595],"genre_scores_gemma":[0.8878412,0.0007878505,0.1009367,0.0003156944,0.00006845372,0.0002244365,0.0007605475,0.0001053861,0.008959692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001214477,"threshold_uncertainty_score":0.004062831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003946390602450526,"score_gpt":0.1863185939559543,"score_spread":0.1823722033535038,"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."}}