{"id":"W4385200010","doi":"10.1039/d3ay00853c","title":"Detection of SARS-CoV-2 in saliva by a low-cost LSPR-based sensor","year":2023,"lang":"en","type":"article","venue":"Analytical Methods","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Centre Hospitalier de l’Université de Montréal; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Saliva; Biosensor; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Chromatography; 2019-20 coronavirus outbreak; Chemistry; Virology; Nanotechnology; Materials science; Biology; Medicine; Biochemistry; Infectious disease (medical specialty)","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":[0.0005330878,0.0006195891,0.0004913466,0.0003167514,0.000211041,0.0003982577,0.0006048653,0.001102991,0.0004559928],"category_scores_gemma":[0.00055317,0.0004227429,0.0003466971,0.0001961922,0.0002760816,0.0005162403,0.0004234792,0.0005024358,0.0005002603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002133466,"about_ca_system_score_gemma":0.0002181039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001783291,"about_ca_topic_score_gemma":0.0003540365,"domain_scores_codex":[0.9992929,0.0002067869,0.00003476867,0.0001920787,0.0002363469,0.00003711015],"domain_scores_gemma":[0.9998081,0.00006498254,0.00004166206,0.00001666537,0.00005223675,0.00001631662],"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":[0.00003049039,0.00003077041,0.0002730967,0.0000713163,0.000006508436,0.00003487585,0.00001813305,0.0001039254,0.9960045,0.00006101275,0.0001053875,0.003259983],"study_design_scores_gemma":[0.0000107026,0.0003890005,0.001457977,0.00000829783,0.00002678846,0.0004300666,0.00004940891,0.009023868,0.9867795,0.00006259718,0.001734767,0.00002702762],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.758174,0.00508927,0.2295544,0.001144912,0.0004251658,0.0003258733,0.0006320638,0.001514608,0.003139654],"genre_scores_gemma":[0.8039987,0.00212909,0.1890865,0.000657531,0.0001034917,0.0002739008,0.0003879181,0.00003182514,0.003331107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001102991,"threshold_uncertainty_score":0.0028193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1231683548234412,"score_gpt":0.4497406050676385,"score_spread":0.3265722502441972,"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."}}