{"id":"W4403275978","doi":"10.1021/acsmeasuresciau.4c00032","title":"Ready-To-Use Microwave Sensor Modified by Antibody-AuNPs Nanoconjugate for Highly Sensitive and Selective Detection of the SARS-CoV-2 Virus","year":2024,"lang":"en","type":"article","venue":"ACS Measurement Science Au","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Canadian Institutes of Health Research","keywords":"Colloidal gold; Detection limit; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Virus; Linker; Conjugate; Nanotechnology; Point-of-care testing; Point of care; PEG ratio; Biosensor; Materials science; Virology; Nanoparticle; Chemistry; Computer science; Medicine; Chromatography","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":[0.001943482,0.0002077521,0.0002552787,0.0002683859,0.00041305,0.0001213321,0.0001193676,0.00007474732,1.323873e-7],"category_scores_gemma":[0.001951795,0.000152672,0.00007774996,0.001230952,0.0003927094,0.0003137474,0.00006497066,0.0001915243,0.000008629178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000592034,"about_ca_system_score_gemma":0.0004783864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007996768,"about_ca_topic_score_gemma":0.0003204217,"domain_scores_codex":[0.9976161,0.00007002811,0.0003150428,0.0006121504,0.0009635467,0.0004231073],"domain_scores_gemma":[0.998192,0.0001520349,0.000119014,0.000287312,0.001180758,0.00006888752],"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":[0.0001475678,0.00003982948,0.0001509642,0.00006061593,0.00004900612,0.000004365171,0.0008327937,0.000001856689,0.994985,0.0000520684,0.0001408998,0.003535046],"study_design_scores_gemma":[0.0005546217,0.0003530085,0.002187975,0.0002746905,0.0001137775,0.0001060507,0.0001593212,0.001687871,0.9932169,0.00008417188,0.001093424,0.0001682221],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899122,0.00006344785,0.00724287,0.0004085496,0.0005940128,0.001233884,0.00002676673,0.0001095059,0.0004087313],"genre_scores_gemma":[0.9981812,0.000004621598,0.0004579792,0.001188942,0.0000669529,0.00003451133,0.00000117775,0.00002524532,0.00003940446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008268934,"threshold_uncertainty_score":0.6225785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07315941360408516,"score_gpt":0.3212219289763729,"score_spread":0.2480625153722877,"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."}}