{"id":"W2807859574","doi":"10.3390/cancers10060207","title":"Hypersialylation in Cancer: Modulation of Inflammation and Therapeutic Opportunities","year":2018,"lang":"en","type":"review","venue":"Cancers","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":240,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute of Allergy and Infectious Diseases; Canadian Glycomics Network; National Institutes of Health; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Defense","keywords":"Glycosylation; Selectin; Cancer; Cancer cell; Sialic acid; Cancer research; Tumor microenvironment; Immune system; Inflammation; Biology; Immunology; 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":[0.0004847312,0.0007139229,0.0009841907,0.002005993,0.0003008432,0.000939519,0.0006607865,0.001209087,0.003738157],"category_scores_gemma":[0.0006594653,0.0002518321,0.0005160644,0.001538996,0.0004574459,0.001315324,0.0006567323,0.002190723,0.001824463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00059818,"about_ca_system_score_gemma":0.0008638634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000651236,"about_ca_topic_score_gemma":0.001368531,"domain_scores_codex":[0.9998587,0.00002473167,0.00002046112,0.00002621686,0.00005065597,0.00001916372],"domain_scores_gemma":[0.9997489,0.0001105062,0.00002812038,0.00001019014,0.00006848941,0.00003371966],"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":[0.0001206736,0.0001096964,0.000222645,0.01449565,0.00008273462,0.0002653033,0.00008044681,0.0004804255,0.003464743,0.007607673,0.03902273,0.9340472],"study_design_scores_gemma":[0.00001347845,0.00009334973,0.0004496744,0.001780428,0.00005718056,0.0008938192,0.00004273561,0.00007518616,0.000654838,0.00229981,0.9936253,0.00001426288],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001257229,0.9980801,0.0001364046,0.0003708941,0.000299163,0.000004348036,0.00001966862,0.00000893409,0.0009547754],"genre_scores_gemma":[0.000760399,0.9979833,0.0001449991,0.0002304933,0.0001881712,0.000006495583,0.00003112713,0.000001725447,0.0006531228],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003738157,"threshold_uncertainty_score":0.01250541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1095091479623947,"score_gpt":0.368058725209175,"score_spread":0.2585495772467803,"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."}}