{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001086816,0.001197682,0.000469879,0.000656963,0.0004081184,0.0007278142,0.0008832967,0.001073918,0.002328476],"category_scores_gemma":[0.0006680374,0.0004191483,0.0003994314,0.0003532978,0.0004694378,0.0006057704,0.0007789799,0.001201581,0.002019217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003683274,"about_ca_system_score_gemma":0.000355913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003784476,"about_ca_topic_score_gemma":0.0007430437,"domain_scores_codex":[0.9989242,0.0002757836,0.0000467914,0.0002367189,0.0004291182,0.0000872922],"domain_scores_gemma":[0.9996241,0.0001102669,0.0000735693,0.00005548098,0.00008236535,0.00005426202],"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":[0.00005615707,0.00004004335,0.0002056418,0.00009780628,0.00001276414,0.00003383171,0.00003119685,0.0001135082,0.9933383,0.0003274153,0.0004383336,0.005305008],"study_design_scores_gemma":[0.00001492374,0.000246304,0.0009544858,0.0000121354,0.00001604649,0.0004527629,0.00002084718,0.003457527,0.9876778,0.0001280787,0.006996072,0.00002306263],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2409722,0.003147544,0.7431961,0.000926701,0.000399434,0.0006337186,0.001591938,0.002913449,0.00621878],"genre_scores_gemma":[0.4353551,0.003454149,0.542235,0.000635791,0.0001136572,0.0008551531,0.003413619,0.0002083984,0.01372919],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002328476,"threshold_uncertainty_score":0.007789552,"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."}}