{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001473468,0.000377853,0.0003360201,0.00009032468,0.0001163852,0.0001164587,0.0001436196,0.0005975378,0.00000302256],"category_scores_gemma":[0.00006244586,0.0003788265,0.00006306695,0.0001201476,0.00007003961,0.00001286351,0.0001892598,0.0002742128,0.000001341086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002984909,"about_ca_system_score_gemma":0.00009968982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002069942,"about_ca_topic_score_gemma":0.000001515795,"domain_scores_codex":[0.9984736,0.00003625446,0.0002796622,0.0008195486,0.000115857,0.0002751112],"domain_scores_gemma":[0.9988832,0.00001303558,0.0001396527,0.0004945372,0.0002427899,0.0002267525],"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":[0.0002276335,0.00001776837,0.0006413212,0.0001602284,0.00006904733,0.000002936799,0.000004697933,0.00001818562,0.9988127,0.0000129782,0.000009590573,0.00002289494],"study_design_scores_gemma":[0.000551433,0.0002407533,0.07343951,0.00006791441,0.00008417309,3.532205e-8,0.000002243279,0.000232181,0.9245517,0.00000303132,0.0004115286,0.0004154459],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902395,0.0009866941,0.007469404,0.00006634435,0.0002748684,0.0004826709,0.0004239574,0.00005336526,0.000003199566],"genre_scores_gemma":[0.9981889,0.0002653454,0.0007346537,0.0004155048,0.000293827,0.00005088869,0.00000893794,0.00003370452,0.000008258054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07426096,"threshold_uncertainty_score":0.9998664,"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."}}