{"id":"W4390446323","doi":"10.1016/j.bios.2023.115995","title":"Aptamers for nanobodies: A nontoxic alternative to toxic ochratoxin A in immunoassays","year":2023,"lang":"en","type":"article","venue":"Biosensors and Bioelectronics","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Aptamer; Ochratoxin A; Detection limit; Ochratoxin; Chemistry; Immunoassay; Chromatography; Surface plasmon resonance; Linear range; Analyte; Toxin; Nanotechnology; Molecular biology; Mycotoxin; Biochemistry; Biology; Food science; Nanoparticle; Materials science; Antibody","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":[0.0003896157,0.0004369935,0.0002558166,0.0002565109,0.0001800031,0.0004926954,0.0004629938,0.0007058776,0.0009340383],"category_scores_gemma":[0.0002744259,0.0001937716,0.0002454565,0.0001764875,0.0003073305,0.000407022,0.0004181122,0.0006575562,0.0008076848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00038072,"about_ca_system_score_gemma":0.0002028865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001876735,"about_ca_topic_score_gemma":0.0003960649,"domain_scores_codex":[0.9996107,0.00007973413,0.00002133828,0.00009548944,0.0001424695,0.00005021882],"domain_scores_gemma":[0.9998469,0.00003949701,0.00002947842,0.00002606272,0.00003187612,0.00002623649],"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":[0.00003669964,0.00001017159,0.00003688174,0.00001988788,0.00000158465,0.00002625691,0.000007732189,0.0000506063,0.9965568,0.0003649917,0.00005732958,0.002831185],"study_design_scores_gemma":[0.000005529349,0.0001001296,0.0002174083,0.000003743558,0.000004941618,0.0001633042,0.000005983329,0.0005820133,0.9946678,0.0001875643,0.004058036,0.000003477805],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6281569,0.01234163,0.3430928,0.001381376,0.0009605474,0.000279353,0.0003596388,0.001698553,0.01172932],"genre_scores_gemma":[0.8868562,0.00343233,0.09163943,0.0009138968,0.0001058642,0.0001080118,0.0002781875,0.00013267,0.01653335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009340383,"threshold_uncertainty_score":0.003124654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01290091317963905,"score_gpt":0.2945833487827759,"score_spread":0.2816824356031369,"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."}}