{"id":"W4416203180","doi":"10.1126/sciadv.adz8096","title":"An ultrasensitive and modular platform to detect Siglec ligands and control immune cell function","year":2025,"lang":"en","type":"article","venue":"Science Advances","topic":"Biochemical and Structural Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Children's Hospital; University of Alberta","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Canadian Glycomics Network; National Institute of Allergy and Infectious Diseases; Natural Sciences and Engineering Research Council of Canada; Networks of Centres of Excellence of Canada; Canadian Institutes of Health Research; Children's Hospital Foundation; Canada Research Chairs; National Institutes of Health; National Heart, Lung, and Blood Institute; Alberta Innovates; BC Children's Hospital","keywords":"SIGLEC; Glycan; Immune system; Cell; MUC1; Receptor; Function (biology); CD22; Modular design","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":[0.00008275907,0.00007156089,0.00006817952,0.00003591191,0.0001412893,0.00004043812,0.00006605809,0.00003953459,7.77371e-7],"category_scores_gemma":[0.00003749093,0.00005730521,0.00001017887,0.0001506904,0.0001862989,0.00003149435,0.00002752853,0.00003108727,3.144347e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005161775,"about_ca_system_score_gemma":0.00002226606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003605437,"about_ca_topic_score_gemma":0.000003904253,"domain_scores_codex":[0.9994515,0.000004486086,0.00007550167,0.0002784083,0.00006450524,0.0001256497],"domain_scores_gemma":[0.9997523,0.000005873308,0.00002413725,0.00009332901,0.00006050946,0.00006384405],"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":[0.0000795147,0.0000029174,0.0004110478,0.000006723832,0.000001782041,1.588228e-7,0.00001682822,0.00001544526,0.9755154,0.00001698164,8.563909e-7,0.02393231],"study_design_scores_gemma":[0.0002156719,0.0002539136,0.02601361,0.000006767143,0.000005827229,0.000002010919,0.00006356566,0.0001136248,0.9725332,0.0003966966,0.0003172309,0.0000778881],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899806,0.0008380769,0.008824537,0.00007771666,0.00008731714,0.00009656948,0.00000792973,0.000006980607,0.00008023737],"genre_scores_gemma":[0.9991516,0.00007071177,0.0003249861,0.0003503811,0.00003314286,0.000004338645,0.00001285381,0.000002106535,0.00004982792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02560257,"threshold_uncertainty_score":0.2336838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002170343535567523,"score_gpt":0.2197812070997088,"score_spread":0.2176108635641413,"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."}}