{"id":"W4384126639","doi":"10.1021/acs.analchem.3c00289","title":"Native Mass Spectrometry Quantitation of α2-3-Linked <i>N</i>-Acetylneuraminic Acid Content of Prostate-Specific Antigen: An Accurate Liquid Biopsy for Clinically Significant Prostate Cancer","year":2023,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Prostate Cancer Canada; Canada Excellence Research Chairs, Government of Canada; Canada Foundation for Innovation; Canadian Glycomics Network; Academic Medical Organization of Southwestern Ontario","keywords":"Prostate cancer; Chemistry; Prostate; Prostate-specific antigen; Biomarker; Prostate biopsy; Sialic acid; Biopsy; Antigen; Internal medicine; Urology; Cancer; Immunology; Medicine; Biochemistry","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":[0.000376795,0.0007238666,0.000238577,0.0005213033,0.0002827074,0.0004318204,0.0003432563,0.0006783947,0.0004855979],"category_scores_gemma":[0.0004259286,0.0002059728,0.0002667565,0.000279125,0.0003663424,0.000345956,0.0004064617,0.0005644765,0.0003971523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000290575,"about_ca_system_score_gemma":0.0003624264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008273559,"about_ca_topic_score_gemma":0.001420785,"domain_scores_codex":[0.9996718,0.00003699614,0.00001514619,0.0001007602,0.0001447427,0.00003053141],"domain_scores_gemma":[0.9998279,0.00002422806,0.00005216161,0.00001654718,0.00004851941,0.00003065204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003568679,0.0000127625,0.0007919443,0.00002639356,0.000009308986,0.00002840663,0.00001648442,0.00003822596,0.9961066,0.00007120494,0.00007435305,0.002788709],"study_design_scores_gemma":[0.000004309935,0.0001181616,0.00833129,0.000009395467,0.00001873197,0.0005482894,0.00003304197,0.003031341,0.9860524,0.0001058719,0.001732025,0.0000151763],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8600047,0.005299035,0.1267755,0.0004084386,0.0002443769,0.0001697017,0.001280965,0.001303211,0.00451408],"genre_scores_gemma":[0.8971404,0.00295588,0.0945413,0.0006184977,0.00006889879,0.0001535371,0.0008844915,0.0001053818,0.00353163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008273559,"threshold_uncertainty_score":0.002108276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07736319496641456,"score_gpt":0.3563155076749613,"score_spread":0.2789523127085468,"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."}}