{"id":"W4400457008","doi":"10.1021/acs.analchem.4c01165","title":"Semiquantitative Paper-Based Microfluidic Surrogate Virus Neutralization Test for SARS-CoV-2 Neutralizing Antibodies","year":2024,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto Metropolitan University; St. Michael's Hospital","funders":"Canadian Institutes of Health Research; Canada Foundation for Innovation; Government of Canada; Public Health Agency of Canada; Ontario Ministry of Research, Innovation and Science; Toronto Metropolitan University","keywords":"Chemistry; Neutralization; Virology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Antibody; Neutralizing antibody; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Virus; Sars virus; Immunology; Outbreak","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":[0.0008219641,0.00068642,0.0004064016,0.0004789312,0.0001902703,0.0004703422,0.0007822276,0.0007629651,0.001338256],"category_scores_gemma":[0.00107842,0.0003466728,0.0004195581,0.0002515875,0.0002681971,0.0003909673,0.0003920422,0.0005187303,0.0007243062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004034844,"about_ca_system_score_gemma":0.0002667196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001663316,"about_ca_topic_score_gemma":0.0004167034,"domain_scores_codex":[0.9989191,0.0001818612,0.0000894343,0.0002614186,0.0004864534,0.00006176846],"domain_scores_gemma":[0.9991608,0.0003042257,0.0002366485,0.00008041784,0.0001686512,0.00004926441],"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":[0.00005833797,0.0000617238,0.0004598581,0.0001098076,0.00001467788,0.00004367179,0.00002708095,0.0001749527,0.9928244,0.0001905727,0.0002882816,0.005746624],"study_design_scores_gemma":[0.00001039098,0.0003062023,0.001395408,0.000009778338,0.00001647096,0.0001679584,0.00001607268,0.004992541,0.9909889,0.00006739362,0.002006425,0.00002249081],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5450578,0.004191927,0.4355904,0.0006356222,0.00088904,0.0009215172,0.002230881,0.003611641,0.006871152],"genre_scores_gemma":[0.6517729,0.002290389,0.3336278,0.0006804685,0.0001965876,0.001332809,0.001307653,0.00007294699,0.008718527],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001338256,"threshold_uncertainty_score":0.004476845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06601479761417042,"score_gpt":0.3881477858229577,"score_spread":0.3221329882087872,"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."}}