{"id":"W2138016708","doi":"10.1186/1741-7015-11-31","title":"The sweet and sour of serological glycoprotein tumor biomarker quantification","year":2013,"lang":"en","type":"review","venue":"BMC Medicine","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Glycobiology; Medicine; Glycosylation; Biomarker; Glycan; Computational biology; Glycome; Glycoprotein; Biomarker discovery; Carcinogenesis; Glycomics; Scope (computer science); Cancer biomarkers; Bioinformatics; Cancer; Proteomics; Computer science; Biology; Biochemistry; Internal medicine; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009426186,0.000246456,0.000616252,0.00007876702,0.0001075342,0.00001870925,0.0003260712,0.0002595267,0.0001169616],"category_scores_gemma":[0.001070846,0.0001241456,0.0001262891,0.0001658533,0.0004565971,0.000002002079,0.0001541624,0.0001794511,0.00003673288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009499113,"about_ca_system_score_gemma":0.0001616884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005086794,"about_ca_topic_score_gemma":0.00003110573,"domain_scores_codex":[0.9981468,0.0003502548,0.0005723953,0.0004129724,0.0002819781,0.000235599],"domain_scores_gemma":[0.9986301,0.0001418428,0.0003346287,0.0006253101,0.0001548875,0.0001132352],"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":[0.00008347207,0.00003752554,0.00004543118,0.004702625,0.0001113626,0.00000260524,0.00000946387,1.890554e-7,0.006643529,0.0003766991,0.007216825,0.9807703],"study_design_scores_gemma":[0.0003074377,0.0002742587,0.0001479623,0.0008696103,0.00006995293,0.00004334764,0.00002555981,0.00002915752,0.0002368735,0.00003509865,0.9978328,0.0001278902],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009466041,0.9964779,0.0005421878,0.0001850181,0.00009147322,0.001313681,0.0000119712,0.000007808394,0.0004233293],"genre_scores_gemma":[0.001074155,0.9956781,0.000254763,0.00003284168,0.0002321285,0.0002755756,0.0001991699,0.00002607834,0.002227145],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.990616,"threshold_uncertainty_score":0.506251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1198641675470263,"score_gpt":0.3871985255187538,"score_spread":0.2673343579717275,"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."}}