{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003378706,0.0002431204,0.0005301479,0.000274056,0.00007504928,0.00005457702,0.00006541449,0.0001775985,0.000008078012],"category_scores_gemma":[0.002013638,0.0002370377,0.00006130252,0.001206398,0.000176216,0.0001096688,0.0001119801,0.0003021605,0.00001379573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004161396,"about_ca_system_score_gemma":0.00004977277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000258712,"about_ca_topic_score_gemma":0.0000423162,"domain_scores_codex":[0.9983112,0.00002622014,0.0005700635,0.0004927799,0.0002623947,0.0003373669],"domain_scores_gemma":[0.9989478,0.0004361095,0.0001175964,0.0003038687,0.000105586,0.00008906217],"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":[0.00003425536,0.000118457,0.08507291,0.0005676387,0.00003951587,0.00005412033,0.00009805313,4.538378e-7,0.9132855,0.00001708264,0.0001163735,0.000595632],"study_design_scores_gemma":[0.0009901507,0.00009570149,0.0750739,0.0003808786,0.0001289846,0.0001754971,0.0001979895,0.01771476,0.9044409,0.00009177703,0.0005025992,0.0002068334],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980658,0.0001031956,0.0001380742,0.0004249799,0.00003260697,0.0002230538,0.00003113853,0.0001173657,0.0008637424],"genre_scores_gemma":[0.9989765,0.00007438364,0.0002379233,0.0005223192,0.00005580621,0.000007794771,0.00002388796,0.00003229759,0.00006914679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01771431,"threshold_uncertainty_score":0.9666116,"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."}}