{"id":"W2238765953","doi":"10.1007/s00216-015-9277-y","title":"Direct detection of endogenous MicroRNAs and their post-transcriptional modifications in cancer serum by capillary electrophoresis-mass spectrometry","year":2016,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"microRNA; Multiplex; RNA; Molecular biology; Capillary electrophoresis; Chemistry; Microvesicles; Biology; Proteomics; Cancer biomarkers; Computational biology; Biochemistry; Genetics; Cancer; Gene","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":[0.0007982642,0.0005192705,0.0003006625,0.0007107283,0.0004574991,0.000595836,0.0003920153,0.0006846667,0.0004981319],"category_scores_gemma":[0.001686848,0.0002894472,0.0002371735,0.000453485,0.000605091,0.0002839773,0.0003153329,0.0006177918,0.0003315333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006209834,"about_ca_system_score_gemma":0.000808434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001130295,"about_ca_topic_score_gemma":0.002309011,"domain_scores_codex":[0.9992539,0.0001798765,0.00003335438,0.0001685341,0.000272651,0.00009166695],"domain_scores_gemma":[0.9992756,0.0003595706,0.0001060862,0.00004449372,0.0001440843,0.00007001127],"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":[0.0002221986,0.00003531049,0.002344295,0.00006199389,0.00002212422,0.00007900546,0.00009487593,0.0001061995,0.9909517,0.0005130025,0.0001694606,0.005399845],"study_design_scores_gemma":[0.00001136343,0.0001228363,0.0053211,0.000008125056,0.00002123976,0.000487654,0.00003520663,0.002917454,0.9894062,0.0003220147,0.001332508,0.00001436296],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9077426,0.007336558,0.07778255,0.0006276057,0.0002036811,0.000129192,0.0006506246,0.0007352366,0.004791922],"genre_scores_gemma":[0.9541789,0.001918725,0.04053726,0.0005693368,0.00005502522,0.0001758927,0.0002856827,0.00006018721,0.002218962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001130295,"threshold_uncertainty_score":0.004505515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009393422619299513,"score_gpt":0.2187192725151137,"score_spread":0.2093258498958142,"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."}}