{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000157642,0.0001268204,0.0002923564,0.0001544969,0.00002524617,0.00001024283,0.00007619594,0.0001982367,0.00002918393],"category_scores_gemma":[0.00002313103,0.0001177321,0.00006276105,0.0001167461,0.00009148761,0.000003965731,0.00003147464,0.00006879249,0.00000124517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001859331,"about_ca_system_score_gemma":0.0007240333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001794337,"about_ca_topic_score_gemma":0.0002301132,"domain_scores_codex":[0.9992283,0.00008436454,0.0002660606,0.0002015369,0.0001105042,0.0001092487],"domain_scores_gemma":[0.999537,0.000009530248,0.0001810236,0.0001559645,0.00008370993,0.00003278909],"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":[0.00001694436,0.000001996303,0.00003716018,0.001817111,0.00004088102,3.220217e-7,0.00005559076,0.0001130936,0.000754083,0.00004489909,0.00004672238,0.9970712],"study_design_scores_gemma":[0.0002077563,0.00009209792,0.00007326064,0.001037293,0.00003913858,0.000002059072,0.00003708548,0.000671144,0.0004442816,0.00003768254,0.9972019,0.0001563344],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01085461,0.9881216,0.00003647623,0.00001574502,0.00007740267,0.0004495888,0.00002652214,0.000003395259,0.0004146394],"genre_scores_gemma":[0.01622847,0.9829344,0.00002148094,0.000006762176,0.0001742882,0.0001039216,0.0002066539,0.00001711268,0.0003069681],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9971551,"threshold_uncertainty_score":0.4800974,"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."}}