{"id":"W4318620479","doi":"10.1128/spectrum.02457-22","title":"Cell-Free Dot Blot: an Ultra-Low-Cost and Practical Immunoassay Platform for Detection of Anti-SARS-CoV-2 Antibodies in Human and Animal Sera","year":2023,"lang":"en","type":"article","venue":"Microbiology Spectrum","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Canadian Food Inspection Agency; Public Health Agency of Canada; University of Toronto","funders":"Canadian Institutes of Health Research; British Columbia Centre for Disease Control; Canada First Research Excellence Fund; University of Toronto","keywords":"Immunoassay; Antibody; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Western blot; Dot blot; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Immunology; Biology; Medicine; Computational biology; Gene; Genetics; 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":[0.0002130596,0.0001664826,0.0002829715,0.0002031281,0.00009164243,0.00002538019,0.00005752243,0.0002245398,0.000002833513],"category_scores_gemma":[0.0000268286,0.0001598493,0.00004257914,0.0001828322,0.0001437002,0.0001356781,0.00002781265,0.0002208609,0.000003637546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002849125,"about_ca_system_score_gemma":0.000005623648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006837972,"about_ca_topic_score_gemma":0.0004243619,"domain_scores_codex":[0.9990944,0.00002234547,0.0002635625,0.0002552714,0.0000257956,0.0003386764],"domain_scores_gemma":[0.999671,0.00008705161,0.00004228855,0.0001547544,0.00001617057,0.00002871222],"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":[0.00005244933,0.00003244403,0.0009184791,0.0001058489,0.00002399952,0.000006991932,0.00007970476,0.00001621951,0.9983715,0.0001147645,0.00009744944,0.0001801695],"study_design_scores_gemma":[0.0007830001,0.0003027456,0.01337237,0.00002057657,0.00002195008,0.00008264175,0.00009115991,0.003946161,0.980531,0.0003972733,0.000268587,0.0001825281],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989216,0.00008559141,0.0001933817,0.0001625317,0.0001308767,0.0002322285,0.00007242835,0.0001271637,0.00007418153],"genre_scores_gemma":[0.9995906,0.0001427882,0.0001184544,0.00001732612,0.00005103503,0.000008231888,0.00003365961,0.00002498089,0.00001296575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01784048,"threshold_uncertainty_score":0.6518464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01806432891026422,"score_gpt":0.2639165693628395,"score_spread":0.2458522404525753,"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."}}