{"id":"W4375855465","doi":"10.1021/acs.analchem.3c00481","title":"Utilization of a Glucometer Test Strip and Enzymatic Reactions to Quantify Anti-SARS-CoV-2 Spike RBD IgG Antibody and SARS-CoV-2 Virus in Saliva and Serum","year":2023,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Ministry of Advanced Education, Government of Alberta; Grand Challenges Canada; Canada Foundation for Innovation; University of Alberta","keywords":"Chemistry; Analyte; Antibody; Chromatography; Saliva; Coronavirus; Detection limit; Immunoassay; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Maltose; Virus; Virology; Enzyme; Biochemistry; Coronavirus disease 2019 (COVID-19); Immunology","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":[0.0007397594,0.0007884338,0.0003819047,0.0007192756,0.0001266969,0.0005414388,0.0005953685,0.000724679,0.0005485733],"category_scores_gemma":[0.0007923704,0.0003768656,0.0003851503,0.0004856849,0.0002399322,0.0003319235,0.0004341984,0.0004488238,0.0003546368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002408995,"about_ca_system_score_gemma":0.0003196665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003646923,"about_ca_topic_score_gemma":0.000617338,"domain_scores_codex":[0.9989711,0.0002115096,0.0001005633,0.0002159496,0.0004336121,0.00006734435],"domain_scores_gemma":[0.9995601,0.0001113882,0.0001008545,0.00004219892,0.0001359189,0.00004958904],"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":[0.0001200285,0.0000803061,0.002492587,0.00008749359,0.00001923162,0.00007851317,0.00003142718,0.000103415,0.9851874,0.0001521588,0.0002198811,0.01142746],"study_design_scores_gemma":[0.00001543406,0.0004689327,0.01056868,0.00001729812,0.00003411613,0.0005883044,0.00004626251,0.004336383,0.9817903,0.00009660934,0.002011969,0.00002573473],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7808033,0.002557891,0.2047604,0.0006497305,0.0004681023,0.0007094159,0.001364865,0.002050814,0.006635554],"genre_scores_gemma":[0.7754627,0.001370177,0.2158959,0.0007494672,0.00007887636,0.0006855449,0.001090263,0.00006667238,0.004600313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007884338,"threshold_uncertainty_score":0.00391221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09669518669996215,"score_gpt":0.3841079489640535,"score_spread":0.2874127622640914,"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."}}