{"id":"W4394842841","doi":"10.1016/j.cbpa.2024.102454","title":"Advances in understanding and exploiting Siglec–glycan interactions","year":2024,"lang":"en","type":"article","venue":"Current Opinion in Chemical Biology","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; University of Alberta","keywords":"SIGLEC; Glycan; Computational biology; Biology; Cognitive science; Computer science; Psychology; Genetics; Glycoprotein; Immune system","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":[0.001081303,0.0008548602,0.0008353549,0.0007552789,0.0003501013,0.001562741,0.0008718336,0.0009985579,0.001771132],"category_scores_gemma":[0.0006263965,0.0003796845,0.000686717,0.0008013399,0.001042215,0.002444786,0.001138759,0.002186859,0.001349146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008151217,"about_ca_system_score_gemma":0.001089841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009274441,"about_ca_topic_score_gemma":0.0008300008,"domain_scores_codex":[0.9995673,0.00008650153,0.0000277806,0.00008575931,0.0001716472,0.00006090834],"domain_scores_gemma":[0.9997396,0.00009177685,0.00003462567,0.00003150356,0.00007210391,0.00003028608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001931073,0.0001825091,0.001316513,0.007883597,0.0001279477,0.0005420526,0.0003870319,0.003012644,0.3254546,0.06907733,0.008187942,0.5836347],"study_design_scores_gemma":[0.00003197066,0.0004023455,0.001691795,0.0007559117,0.0001811261,0.001813577,0.0002589348,0.005816984,0.1982854,0.02964669,0.7610072,0.0001079415],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02968065,0.8290555,0.1088017,0.006226935,0.001378708,0.0001064467,0.0002474158,0.0004409936,0.02406166],"genre_scores_gemma":[0.08664206,0.8354279,0.06874418,0.002133907,0.0009542314,0.0001099575,0.0004481767,0.00008044811,0.00545904],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001771132,"threshold_uncertainty_score":0.005925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09261727341523751,"score_gpt":0.4173014748250478,"score_spread":0.3246842014098102,"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."}}