{"id":"W3112689085","doi":"10.1039/d0mo90019b","title":"Glycomics &amp; Glycoproteomics: From Analytics to Function","year":2020,"lang":"en","type":"editorial","venue":"Molecular Omics","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre","funders":"","keywords":"Glycoproteomics; Glycomics; Function (biology); Computer science; Analytics; Data science; Chemistry; Proteomics; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.009016209,0.003192049,0.002696785,0.003388594,0.00256664,0.008849965,0.002874364,0.01140369,0.02303776],"category_scores_gemma":[0.0197212,0.00118776,0.002139049,0.001603971,0.002627012,0.006440396,0.002135725,0.02090787,0.02388832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002857859,"about_ca_system_score_gemma":0.003262493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001498286,"about_ca_topic_score_gemma":0.004750957,"domain_scores_codex":[0.9947742,0.0008508383,0.0004441704,0.000530074,0.003100935,0.0002998259],"domain_scores_gemma":[0.9800676,0.007458491,0.0009848449,0.0004620651,0.006833278,0.004193891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002785617,0.000006417107,0.00001189144,0.0001254921,0.000008573692,0.00003204792,0.000006137435,0.00001557557,0.00007324678,0.0004887992,0.9930537,0.0061503],"study_design_scores_gemma":[0.00003541265,0.00002905612,0.0001086533,0.0002312236,0.00001850389,0.0001177793,0.00001777551,0.0001108252,0.0001028457,0.001667827,0.9975457,0.00001444639],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00001932962,0.008439602,0.0002461566,0.03056885,0.9585906,0.00001879809,0.00005353524,0.0000861639,0.001976885],"genre_scores_gemma":[0.0003141962,0.009862082,0.0002529127,0.0318459,0.937596,0.00002497549,0.00006043433,0.00009623471,0.01994724],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02303776,"threshold_uncertainty_score":0.07706898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01218982742853409,"score_gpt":0.2756124404677996,"score_spread":0.2634226130392656,"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."}}