{"id":"W3196876041","doi":"10.1016/j.talanta.2021.122841","title":"SARS-CoV-2 detection with aptamer-functionalized gold nanoparticles","year":2021,"lang":"en","type":"article","venue":"Talanta","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":79,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Aptamer; Chemistry; Absorbance; Colloidal gold; Nanoparticle; Protein detection; Target protein; Biosensor; Spike Protein; Detection limit; Nanotechnology; Coronavirus disease 2019 (COVID-19); Biophysics; Chromatography; Biochemistry; Molecular biology","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":[0.0004519809,0.0008627208,0.00035502,0.0002785393,0.0002018868,0.0003713463,0.0004633132,0.0008975301,0.0007945251],"category_scores_gemma":[0.0003153572,0.0003913835,0.000285427,0.0001564862,0.000269899,0.0004265228,0.000324119,0.0004434076,0.0004755074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005151086,"about_ca_system_score_gemma":0.0001871546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006623237,"about_ca_topic_score_gemma":0.001100013,"domain_scores_codex":[0.9995713,0.00006878329,0.00002690422,0.0001449283,0.0001118425,0.00007617343],"domain_scores_gemma":[0.9998946,0.00002856152,0.00001862373,0.00001317273,0.00003116174,0.00001388472],"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":[0.00004021465,0.000008859001,0.00004177637,0.00001665962,0.000003233763,0.00001923555,0.00001222115,0.00004919657,0.9992076,0.00004992234,0.00003181098,0.0005194065],"study_design_scores_gemma":[0.00000594765,0.00006639808,0.0003527866,0.000001823288,0.000005636183,0.0000728218,0.000009103989,0.002016989,0.9969456,0.00002753898,0.0004908792,0.000004592307],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9682758,0.0009722049,0.02550953,0.0001920423,0.0001118763,0.00005562301,0.0001078769,0.000341572,0.004433617],"genre_scores_gemma":[0.9638922,0.0005002716,0.02823049,0.0002491705,0.00004291263,0.00008171556,0.0003033161,0.00004079297,0.006659356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008975301,"threshold_uncertainty_score":0.00373733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01272976608297153,"score_gpt":0.2625057681247885,"score_spread":0.249776002041817,"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."}}