{"id":"W2027442383","doi":"10.1128/cvi.00293-10","title":"Development, Characterization, and Application of Monoclonal Antibodies against Severe Acute Respiratory Syndrome Coronavirus Nucleocapsid Protein","year":2010,"lang":"en","type":"article","venue":"Clinical and Vaccine Immunology","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute of Allergy and Infectious Diseases; National Institutes of Health; Universiteit van Amsterdam","keywords":"Monoclonal antibody; Virology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Respiratory system; Antibody; Betacoronavirus; Medicine; Severe acute respiratory syndrome; Monoclonal; Immunology; Pathology; Internal medicine; Outbreak","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":[0.0005549857,0.0004892577,0.0001811564,0.0003925195,0.0001833909,0.0003087452,0.0002865294,0.000350669,0.0007840908],"category_scores_gemma":[0.0006251056,0.0002062293,0.0002754566,0.0001459956,0.0001971002,0.0002475258,0.0001934757,0.0005513792,0.0002670972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004619899,"about_ca_system_score_gemma":0.0003399009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009060782,"about_ca_topic_score_gemma":0.001195192,"domain_scores_codex":[0.9997579,0.00004763675,0.0000261395,0.00003955357,0.0000773057,0.00005147274],"domain_scores_gemma":[0.999668,0.00007183033,0.0000365403,0.00003491232,0.0001423657,0.00004629288],"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":[0.00003848292,0.00007352642,0.0004205732,0.00003384547,0.000005412208,0.00003858861,0.00001725743,0.0000912644,0.9934228,0.0001375077,0.00007970037,0.005641086],"study_design_scores_gemma":[0.0000982152,0.001440915,0.008819808,0.00002036721,0.00006917239,0.0007159953,0.00003512483,0.00184217,0.9721624,0.0001699099,0.01461478,0.00001106612],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9370373,0.005444352,0.05179037,0.0004422355,0.0001121427,0.0003437858,0.0003220815,0.000110386,0.004397316],"genre_scores_gemma":[0.9524271,0.003540485,0.03890264,0.0002364773,0.00006152193,0.0002336387,0.001808504,0.00002928866,0.002760241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009060782,"threshold_uncertainty_score":0.003352046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04410676566592409,"score_gpt":0.3745326738627614,"score_spread":0.3304259081968373,"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."}}