{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000528563,0.0001567942,0.0003155571,0.000080941,0.00006223201,0.0000161903,0.0002365086,0.00005057914,0.000009703549],"category_scores_gemma":[0.0005725608,0.000118292,0.0002578105,0.0003989314,0.0005878805,0.00001530321,0.00003479214,0.0001459795,5.105011e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001820944,"about_ca_system_score_gemma":0.0002347531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004086383,"about_ca_topic_score_gemma":8.511489e-7,"domain_scores_codex":[0.9984109,0.0001042324,0.0005876945,0.0002890173,0.0003583291,0.0002498581],"domain_scores_gemma":[0.9983997,0.000225562,0.0005621914,0.00008077455,0.0005499963,0.0001818127],"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":[0.00143416,0.000151215,0.001552137,0.00006023526,0.00008219392,0.000003996659,0.00003611149,0.00006192869,0.9851554,0.00002895995,0.0004194612,0.0110142],"study_design_scores_gemma":[0.0009334349,0.0006416637,0.00009048805,0.00004995365,0.000152355,0.00001562323,0.00007109973,0.00336437,0.9724374,0.00003053455,0.02207579,0.0001373271],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851918,0.001726685,0.00846116,0.004131208,0.00007611111,0.0003073498,0.00005366835,0.000008593899,0.00004348827],"genre_scores_gemma":[0.990492,0.002285213,0.006253398,0.0007178755,0.000220275,0.000005749522,0.00000782097,0.00001052351,0.000007142254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02165632,"threshold_uncertainty_score":0.4823806,"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."}}