{"id":"W3181437453","doi":"10.1109/memea52024.2021.9478684","title":"Aptamer based Lateral Flow Assays for Rapid and Sensitive Detection of CKD marker Cystatin C","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Aptamer; Cystatin C; Immunogenicity; Detection limit; Chemistry; Antibody; Biomarker; Chromatography; Molecular biology; Renal function; Biology; Biochemistry; Immunology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001148244,0.0009066733,0.000839662,0.000808454,0.0002826435,0.0004380792,0.0008425452,0.001167167,0.001089529],"category_scores_gemma":[0.0009528815,0.000437002,0.000485741,0.0003625804,0.0003938956,0.0006191839,0.0005159705,0.0009570504,0.000740795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000562616,"about_ca_system_score_gemma":0.0003531816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003012611,"about_ca_topic_score_gemma":0.0004403655,"domain_scores_codex":[0.9984038,0.0004476063,0.00009827046,0.0003646713,0.0005715801,0.0001140143],"domain_scores_gemma":[0.9995021,0.0002194137,0.00008686406,0.00002702594,0.0001362902,0.00002835413],"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":[0.00009532973,0.00006908887,0.0002610554,0.0001520762,0.00001493899,0.00004789929,0.00004088114,0.0003022171,0.988188,0.0002347871,0.0002149383,0.01037882],"study_design_scores_gemma":[0.0000181959,0.0001977149,0.0005325822,0.00001095222,0.00002411822,0.000245106,0.00001024631,0.0130046,0.9829507,0.0001354032,0.002841194,0.00002912088],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2365329,0.007564561,0.7479606,0.0005334707,0.0003929011,0.0008122228,0.0006888297,0.002854005,0.002660546],"genre_scores_gemma":[0.5153581,0.003842358,0.4690338,0.0008304798,0.0001764632,0.001621125,0.0009850659,0.0000884956,0.00806402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001167167,"threshold_uncertainty_score":0.006072521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00674126397478611,"score_gpt":0.2460228376999866,"score_spread":0.2392815737252005,"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."}}