{"id":"W3197877735","doi":"10.1016/j.bios.2021.113595","title":"Aptamer-based electrochemical biosensor for rapid detection of SARS-CoV-2: Nanoscale electrode-aptamer-SARS-CoV-2 imaging by photo-induced force microscopy","year":2021,"lang":"en","type":"article","venue":"Biosensors and Bioelectronics","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":157,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation; Centre québécois sur les matériaux fonctionnels","keywords":"Aptamer; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Nanoscopic scale; Nanotechnology; Biosensor; 2019-20 coronavirus outbreak; Electrode; Materials science; Microscopy; Sars virus; Atomic force microscopy; Chemistry; Virology; Optics; Infectious disease (medical specialty); Biology; Physics; Medicine; 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":[0.0004370092,0.0006256698,0.0004066431,0.000356665,0.0002692519,0.0003013593,0.0005850192,0.001219135,0.001230763],"category_scores_gemma":[0.0004131154,0.0004005849,0.0002227196,0.0001942867,0.000243164,0.0004563381,0.000308009,0.0006621974,0.0005984075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004260594,"about_ca_system_score_gemma":0.0002381629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005950698,"about_ca_topic_score_gemma":0.001783763,"domain_scores_codex":[0.9994954,0.00006692181,0.00002602103,0.0001334173,0.0002160454,0.00006229934],"domain_scores_gemma":[0.999828,0.0000506689,0.00002724695,0.00001319059,0.00005348529,0.00002734211],"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":[0.00001170661,0.00001124362,0.00002746453,0.00001123476,0.000001927829,0.00001307059,0.000006419813,0.00002250612,0.9991059,0.000037699,0.00005557722,0.000695341],"study_design_scores_gemma":[0.000006407497,0.00008446182,0.0008139751,0.000002198655,0.000004936893,0.0001882804,0.000009403449,0.002922514,0.9950631,0.00003595767,0.0008608489,0.000007847083],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7786975,0.004185859,0.2074896,0.00103686,0.0004223717,0.0002531082,0.000650604,0.001290148,0.005973968],"genre_scores_gemma":[0.8420475,0.001396405,0.1474311,0.000759498,0.00008340646,0.000226346,0.0004854885,0.00005375849,0.007516468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001230763,"threshold_uncertainty_score":0.00411737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0258188909483235,"score_gpt":0.2984884052951757,"score_spread":0.2726695143468522,"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."}}