{"id":"W4390945491","doi":"10.1021/acscentsci.3c00969","title":"Dissecting the Ability of Siglecs To Antagonize Fcγ Receptors","year":2024,"lang":"en","type":"article","venue":"ACS Central Science","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Glycomics Network; Canadian Institutes of Health Research; National Institute on Aging; University of Alberta; National Institute of Allergy and Infectious Diseases; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Institute of Aging; Government of Canada","keywords":"SIGLEC; Cell biology; Receptor; CD22; Chemistry; Biology; Biochemistry; Antibody; Immunology; B cell","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":[0.0002202944,0.0003360304,0.0001975702,0.0001205302,0.0001129617,0.0003387379,0.0002748003,0.000349675,0.0006459705],"category_scores_gemma":[0.0001218328,0.0001268378,0.000262685,0.00008821749,0.0001786724,0.0002386871,0.0002060198,0.0006012987,0.000312228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003108445,"about_ca_system_score_gemma":0.0002032273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00068753,"about_ca_topic_score_gemma":0.0006995181,"domain_scores_codex":[0.9997768,0.00002954348,0.00001345704,0.00002451091,0.00006953826,0.00008618514],"domain_scores_gemma":[0.9999254,0.00002258266,0.00001486664,0.000008031097,0.00001242709,0.00001671058],"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":[0.00003407091,0.00001664046,0.00006850459,0.00001641569,0.000002919607,0.00001921267,0.000004834204,0.00005951639,0.9993173,0.0000854555,0.00001334636,0.0003617223],"study_design_scores_gemma":[0.000008318833,0.0002867664,0.001533971,0.000003459165,0.000009850974,0.00009494307,0.00001907526,0.001326416,0.9955246,0.00003533538,0.001153918,0.000003280417],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994896,0.001315276,0.001740647,0.00009835787,0.00001949866,0.00002424655,0.00009990964,0.0000217935,0.001784371],"genre_scores_gemma":[0.9958768,0.001014818,0.001424583,0.00009859249,0.00001205333,0.00002344617,0.0001445303,0.000007394331,0.001397781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00068753,"threshold_uncertainty_score":0.002255321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02385382163699259,"score_gpt":0.3536571579583841,"score_spread":0.3298033363213916,"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."}}