{"id":"W3014050626","doi":"10.1016/j.molimm.2020.03.010","title":"Glycosylation of Fcγ receptors influences their interaction with various IgG1 glycoforms","year":2020,"lang":"en","type":"article","venue":"Molecular Immunology","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Polytechnique Montréal; National Research Council Canada","funders":"Institut TransMedTech; National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Glycan; Glycosylation; Fragment crystallizable region; Immunoglobulin G; Chemistry; Fc receptor; Receptor; Antibody; Surface plasmon resonance; Immunoglobulin Fc Fragments; Monoclonal antibody; Context (archaeology); N-linked glycosylation; Molecular biology; Biochemistry; Biology; Glycoprotein; 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":[],"consensus_categories":[],"category_scores_codex":[0.00006165911,0.0001273783,0.0002669485,0.00008720513,0.00004376734,0.00000767242,0.0001097046,0.00009198108,0.000241457],"category_scores_gemma":[0.00007267629,0.00008334173,0.00007649929,0.000250767,0.0001793027,0.00007038368,0.00006502656,0.0002747235,0.00005450403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002699154,"about_ca_system_score_gemma":0.0000820921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002583675,"about_ca_topic_score_gemma":0.00001047857,"domain_scores_codex":[0.9991179,0.00005802239,0.0002273131,0.000199798,0.0001912387,0.0002058024],"domain_scores_gemma":[0.9994964,0.00004470027,0.00009795215,0.000152757,0.0001380123,0.00007018437],"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":[0.004890384,0.0001097196,0.01445116,0.0001071565,0.0004975445,0.0001112169,0.001240491,0.00008408994,0.9480757,0.0008890651,0.0000901458,0.02945337],"study_design_scores_gemma":[0.002248814,0.007000922,0.04873293,0.0001524856,0.00009060104,0.0003925497,0.0006951817,0.001027764,0.8831064,0.0004073581,0.05585815,0.0002868882],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919714,0.0007290351,0.000914523,0.004026874,0.00008083516,0.0002095834,0.000004405053,0.00003255833,0.002030766],"genre_scores_gemma":[0.9984281,0.0001437311,0.0005179788,0.0006812187,0.00003652651,0.00001103698,0.00005485453,0.00001469818,0.0001118192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06496929,"threshold_uncertainty_score":0.3398577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02023962400486415,"score_gpt":0.2778907808009685,"score_spread":0.2576511567961043,"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."}}