{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005358249,0.0001089387,0.0001070108,0.0000224359,0.00005488688,0.00002172333,0.00004918061,0.00007491982,0.000003547909],"category_scores_gemma":[0.00002441052,0.00008672627,0.00006188568,0.0001401384,0.00006392694,0.000003489384,0.00004109444,0.00005144183,0.000007441654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001016332,"about_ca_system_score_gemma":0.00003110254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001281613,"about_ca_topic_score_gemma":0.0002980489,"domain_scores_codex":[0.9993225,0.00003517702,0.0001089172,0.0002829109,0.0001044151,0.0001460494],"domain_scores_gemma":[0.9995711,0.00000493797,0.00004991474,0.0002488511,0.0001002678,0.00002492576],"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":[0.0001003023,0.00003973745,0.0002304644,0.000004037654,0.00005388357,0.00001447501,0.000003914776,0.000001413397,0.993569,0.00001285143,0.0006614788,0.005308415],"study_design_scores_gemma":[0.0002541129,0.0001293513,0.0002228408,0.000009687182,0.00003745517,0.0001510391,0.0000325715,0.00002408971,0.9617841,0.0000515212,0.03716454,0.0001386994],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970466,0.0002088286,0.001292154,0.00008160154,0.00003836365,0.00004569271,0.00000831369,0.00005644714,0.001222006],"genre_scores_gemma":[0.9968883,0.0001112633,0.001159374,0.0003697948,0.0001034114,0.000006613747,0.00009195969,0.00001434667,0.001254982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03650306,"threshold_uncertainty_score":0.3536595,"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."}}