{"id":"W4220918884","doi":"10.1021/acschembio.1c00689","title":"A Useful Guide to Lectin Binding: Machine-Learning Directed Annotation of 57 Unique Lectin Specificities","year":2022,"lang":"en","type":"article","venue":"ACS Chemical Biology","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":384,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences; Canada Excellence Research Chairs, Government of Canada","keywords":"Glycan; Glycomics; Computational biology; Lectin; Glycobiology; Biology; Glycome; Biochemistry; Glycoprotein","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":[0.001264147,0.002581703,0.001507278,0.002931373,0.0009604174,0.002173581,0.002389166,0.001921408,0.04675468],"category_scores_gemma":[0.003889099,0.002127713,0.001143055,0.002578721,0.0007099311,0.001670135,0.001327962,0.00462675,0.05449039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008218505,"about_ca_system_score_gemma":0.001651106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002226073,"about_ca_topic_score_gemma":0.006343233,"domain_scores_codex":[0.9991862,0.000214927,0.0001055885,0.000150021,0.000276741,0.00006662605],"domain_scores_gemma":[0.998522,0.0006708913,0.0000896294,0.0002033056,0.0003943085,0.0001198628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001281867,0.000137179,0.000237885,0.002050083,0.00009724997,0.0002767231,0.00009964623,0.002050538,0.05779751,0.01001197,0.7025755,0.2245376],"study_design_scores_gemma":[0.0000415173,0.00009202604,0.0003864674,0.0002567975,0.00002823274,0.0006813136,0.00003093034,0.004585029,0.01874063,0.01442324,0.9606575,0.00007628811],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002359962,0.03472752,0.8426602,0.004802315,0.004534295,0.0007428471,0.04007794,0.04326405,0.02683093],"genre_scores_gemma":[0.006941175,0.02469127,0.8584584,0.006162509,0.001216654,0.002349898,0.04737281,0.006518166,0.04628922],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04675468,"threshold_uncertainty_score":0.15641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01626351816336686,"score_gpt":0.2948567156817715,"score_spread":0.2785931975184046,"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."}}