{"id":"W3134652210","doi":"10.1007/s10719-021-09986-8","title":"Mucins as anti-cancer targets: perspectives of the glycobiologist","year":2021,"lang":"en","type":"review","venue":"Glycoconjugate Journal","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Mucin; MUC1; Glycosylation; Glycoprotein; Epitope; Glycomics; Glycan; Biology; Cancer; Immunotherapy; Immune system; Antigen; Cancer research; Cancer cell; Immunology; Molecular biology; Biochemistry; Genetics","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":[0.0009820402,0.0009224355,0.001279799,0.001385242,0.0002233861,0.001653012,0.0007764157,0.001593683,0.0027822],"category_scores_gemma":[0.0008386396,0.0002025566,0.0004250718,0.00200053,0.0006649335,0.001728094,0.0007877928,0.002886048,0.0015373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007547238,"about_ca_system_score_gemma":0.001066396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007144394,"about_ca_topic_score_gemma":0.001418098,"domain_scores_codex":[0.9998208,0.00004089793,0.0000153858,0.00002676752,0.0000677976,0.00002841803],"domain_scores_gemma":[0.9995977,0.0001776649,0.00003964455,0.00001335551,0.0001097506,0.00006189023],"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":[0.0002559237,0.00009404741,0.0002172809,0.008736701,0.0000955022,0.0002715081,0.00005002533,0.000516123,0.00447897,0.01048885,0.05290616,0.921889],"study_design_scores_gemma":[0.00003672606,0.0001274466,0.0004646669,0.001740781,0.00009392962,0.0006888735,0.00005107947,0.000153736,0.0007427671,0.003275722,0.9926077,0.0000165676],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007866495,0.9986019,0.00008828696,0.0004285291,0.0003390948,0.000001372339,0.000008443491,0.000003559766,0.0004501654],"genre_scores_gemma":[0.0006598909,0.9981468,0.0001440096,0.0003142229,0.0003093386,0.000002443218,0.00001573494,9.290696e-7,0.0004065294],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0027822,"threshold_uncertainty_score":0.009307384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03238761966503691,"score_gpt":0.3691001043925626,"score_spread":0.3367124847275257,"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."}}