{"id":"W4353062165","doi":"10.3390/bioengineering10030391","title":"Label-Free Saliva Test for Rapid Detection of Coronavirus Using Nanosensor-Enabled SERS","year":2023,"lang":"en","type":"article","venue":"Bioengineering","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; St. Michael's Hospital","funders":"","keywords":"Saliva; Nanosensor; Gold standard (test); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Nanotechnology; Point of care; Coronavirus; Virology; Molecular diagnostics; Point-of-care testing; Diagnostic test; Materials science; Biology; Medicine; Immunology; Bioinformatics; Pathology","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":[0.0005473493,0.0005544812,0.0003642996,0.0003836488,0.0001789897,0.0003042021,0.0004527567,0.001021798,0.0008845035],"category_scores_gemma":[0.0005973647,0.0003511099,0.0004379681,0.0001646517,0.000223538,0.0004348717,0.0004693023,0.0004904072,0.0005865792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001821579,"about_ca_system_score_gemma":0.0001783558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001745046,"about_ca_topic_score_gemma":0.000377443,"domain_scores_codex":[0.999373,0.0001468886,0.0000381194,0.0001244777,0.000266957,0.00005057818],"domain_scores_gemma":[0.9997802,0.0000710385,0.00003708759,0.00001865968,0.00007452897,0.00001851814],"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":[0.0000633063,0.00004981209,0.0007288373,0.0001170695,0.00001445167,0.00009358027,0.00005865662,0.0001376064,0.9901314,0.000130124,0.0002320474,0.008243185],"study_design_scores_gemma":[0.00001532646,0.0003634028,0.002030252,0.00001535098,0.00002997047,0.0004252878,0.00006275011,0.007600444,0.9869392,0.0001800569,0.002306244,0.00003175972],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7527244,0.008927155,0.2257355,0.001125797,0.0006195179,0.0004810663,0.0005992019,0.001991787,0.007795568],"genre_scores_gemma":[0.8292924,0.002340495,0.1609833,0.0008687896,0.00009811922,0.0003371779,0.0004288863,0.00006472482,0.005585943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001021798,"threshold_uncertainty_score":0.002958953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08221289355914153,"score_gpt":0.3109419444587721,"score_spread":0.2287290508996306,"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."}}