{"id":"W2044880301","doi":"10.3382/ps.2011-01916","title":"Diagnostics of severe acute respiratory syndrome-associated coronavirus (SARS-CoV) nucleocapsid antigen using chicken immunoglobulin Y","year":2012,"lang":"en","type":"article","venue":"Poultry Science","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute of Allergy and Infectious Diseases; National Institutes of Health","keywords":"Polyclonal antibodies; Virology; Immunoassay; Antibody; Antigen; Monoclonal antibody; Coronavirus; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Severe acute respiratory syndrome; Monoclonal; Biology; Medicine; Coronavirus disease 2019 (COVID-19); Immunology; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003294993,0.000484155,0.0001859482,0.0003628328,0.0001027391,0.0002093544,0.0002109872,0.0004541244,0.0004267895],"category_scores_gemma":[0.0002889875,0.0001312794,0.0001687465,0.000122283,0.0002267747,0.000198301,0.0002189298,0.0002578989,0.0002364891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000234331,"about_ca_system_score_gemma":0.0001613552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008089368,"about_ca_topic_score_gemma":0.001375588,"domain_scores_codex":[0.9995962,0.0001050679,0.00003008542,0.0001059334,0.0001266378,0.00003613798],"domain_scores_gemma":[0.9998183,0.00004793813,0.00003892291,0.00001586595,0.00005867624,0.00002037134],"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":[0.00002642342,0.00002187295,0.002163723,0.00004096409,0.000004740288,0.00002069432,0.00001397265,0.00004860122,0.9948986,0.00003032666,0.00001615384,0.002713894],"study_design_scores_gemma":[0.00002602826,0.00116126,0.02939891,0.00002496239,0.00005233526,0.0009942097,0.00008462032,0.005243413,0.960309,0.00007388673,0.002617381,0.00001409405],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9545943,0.001455709,0.04169396,0.0001095235,0.00003118039,0.00009441387,0.0001354657,0.0001726892,0.00171277],"genre_scores_gemma":[0.9416952,0.000923625,0.05467769,0.0001456963,0.00001692959,0.00006186067,0.000509,0.000011328,0.001958856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008089368,"threshold_uncertainty_score":0.001742542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08879661124565219,"score_gpt":0.390421479688953,"score_spread":0.3016248684433008,"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."}}