{"id":"W4403596788","doi":"10.1039/d4an00729h","title":"Liquid saliva-based Raman spectroscopy device with on-board machine learning detects COVID-19 infection in real-time","year":2024,"lang":"en","type":"article","venue":"The Analyst","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine; Polytechnique Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Institut TransMedTech; Institut de Valorisation des Données; Natural Sciences and Engineering Research Council of Canada; Fonds de Recherche du Québec - Santé; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Coronavirus disease 2019 (COVID-19); Saliva; Pandemic; Virology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Population; Outbreak; 2019-20 coronavirus outbreak; Computer science; Medicine; Pathology; Internal medicine","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":[0.0005383209,0.000174684,0.0001668234,0.0001390183,0.0001071676,0.00005597089,0.0002469477,0.0001419567,0.0001865441],"category_scores_gemma":[0.0002155556,0.0001090703,0.00009057965,0.0005814272,0.0001954489,0.000003238379,0.00008413783,0.0004338623,0.00004394398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001403911,"about_ca_system_score_gemma":0.0001935243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001040017,"about_ca_topic_score_gemma":0.000411775,"domain_scores_codex":[0.9986196,0.0001608582,0.0001760208,0.0004104294,0.0003028858,0.0003302393],"domain_scores_gemma":[0.9993066,0.0001186892,0.00003709882,0.0003454113,0.000029218,0.0001629506],"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":[0.0007818706,0.00005619995,0.001496737,0.00006388191,0.00005943539,0.00003675994,0.00001736315,0.0001998773,0.9956652,0.00007732523,0.001395628,0.0001497229],"study_design_scores_gemma":[0.0003108181,0.001815115,0.0001888702,0.00007401587,0.00003437227,0.000007559185,0.000006586709,0.003824341,0.9491789,0.0001254068,0.04425262,0.0001813929],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866103,0.0003508704,0.006460692,0.00191341,0.00002432056,0.0002082352,0.000007470061,0.0001510919,0.004273588],"genre_scores_gemma":[0.997074,0.000549354,0.0005174123,0.00078058,0.0001701543,0.00005201808,0.0001285765,0.00003146904,0.0006964297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04648629,"threshold_uncertainty_score":0.4447758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01403022796939163,"score_gpt":0.3394702304386823,"score_spread":0.3254400024692907,"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."}}