{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001881491,0.0001424966,0.0002324815,0.0002874448,0.00007162255,0.00001161546,0.0000659851,0.00009154718,0.000004962364],"category_scores_gemma":[0.001044201,0.0001485514,0.0000829938,0.0006414562,0.00002212287,0.00006034565,0.00003584841,0.0001015989,0.00001057841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008770819,"about_ca_system_score_gemma":0.00003209674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006360306,"about_ca_topic_score_gemma":0.000006471925,"domain_scores_codex":[0.9991114,0.000007438508,0.0002596331,0.0001919709,0.0001501251,0.0002794602],"domain_scores_gemma":[0.9993041,0.0002233282,0.00007421018,0.0002457239,0.000103875,0.00004879949],"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":[0.00004216921,0.00002127111,0.0005484769,0.0002368152,0.00003624579,0.00001008751,0.00004829133,0.0003445842,0.9922509,0.00000886147,0.00002324761,0.006429009],"study_design_scores_gemma":[0.001486968,0.0002144461,0.001300522,0.0001410432,0.00005730514,0.00006303731,0.0000856126,0.1444382,0.8503216,0.00001027879,0.00175441,0.0001266362],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924607,0.0001510193,0.005756865,0.00003565105,0.0005105261,0.0003591857,0.00001687843,0.0005902605,0.0001189711],"genre_scores_gemma":[0.9950519,0.000008526733,0.004542645,0.0000592188,0.0001942571,0.00002012513,0.000004997987,0.00005635969,0.0000619338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1440936,"threshold_uncertainty_score":0.6057751,"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."}}