{"id":"W3041505657","doi":"10.18433/jpps31171","title":"A Sensitive Aptamer-Based Biosensor for Electrochemical Quantification of PSA as a Specific Diagnostic Marker of Prostate Cancer","year":2020,"lang":"en","type":"article","venue":"Journal of Pharmacy & Pharmaceutical Sciences","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Iran National Science Foundation; Tehran University of Medical Sciences and Health Services; National Science Foundation","keywords":"Aptamer; Analyte; Detection limit; Differential pulse voltammetry; Dielectric spectroscopy; Prostate cancer; Linear range; Biosensor; Chromatography; Prostate-specific antigen; Colloidal gold; Electrochemistry; Cyclic voltammetry; Chemistry; Materials science; Electrode; Nanotechnology; Nanoparticle; Cancer; Medicine; Internal medicine; Molecular biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003397775,0.0006319161,0.0004985708,0.0004413869,0.0001142065,0.0003054185,0.0006591185,0.001049893,0.0007581807],"category_scores_gemma":[0.000389542,0.0002735704,0.0004295482,0.0003099499,0.0002413296,0.0004511878,0.0003186724,0.0006940396,0.000760733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003192018,"about_ca_system_score_gemma":0.00032894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000206685,"about_ca_topic_score_gemma":0.0003716665,"domain_scores_codex":[0.999257,0.0001068351,0.00004334094,0.000174784,0.00037322,0.00004473874],"domain_scores_gemma":[0.9998343,0.00002681937,0.00003266924,0.00001461262,0.00006848194,0.00002310141],"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":[0.00002147228,0.00002094765,0.0001082452,0.0001308231,0.000008399802,0.00004787165,0.00001266267,0.000162853,0.9941988,0.00009705254,0.00005538427,0.005135605],"study_design_scores_gemma":[0.00000952717,0.000258997,0.0007379167,0.00001190559,0.00002514119,0.0006799781,0.00001069189,0.003520053,0.9906886,0.00008786777,0.00395693,0.00001233454],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4846003,0.04915115,0.4558557,0.001112088,0.0007580003,0.000574727,0.0005718833,0.001784636,0.005591529],"genre_scores_gemma":[0.7759606,0.01156007,0.2005989,0.0008696537,0.0001679555,0.0002616832,0.000663584,0.00005727726,0.009860175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001049893,"threshold_uncertainty_score":0.002536356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05216712385402646,"score_gpt":0.395521251188184,"score_spread":0.3433541273341575,"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."}}