{"id":"W4295309656","doi":"10.1021/acs.analchem.2c01325","title":"Rational Design and Development of SARS-CoV-2 Serological Diagnostics by Immunoprecipitation-Targeted Proteomics","year":2022,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"China Scholarship Council; Mitacs; National Natural Science Foundation of China; Canadian Institutes of Health Research; Alberta Innovates - Health Solutions","keywords":"Serology; Immunoassay; Antibody; Immunoprecipitation; Chemistry; Subclass; Antigen; Immunoglobulin E; Immunoglobulin G; Virology; Computational biology; Immunology; Biology","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":[0.001157924,0.0008387535,0.0007125988,0.000460319,0.0002591447,0.0007575625,0.0006498837,0.0004970626,0.0004532706],"category_scores_gemma":[0.0005354586,0.0004913295,0.0006236052,0.0003086616,0.0003852557,0.0004841736,0.000577721,0.000881809,0.0005933521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005817818,"about_ca_system_score_gemma":0.0008327005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003624579,"about_ca_topic_score_gemma":0.0007985633,"domain_scores_codex":[0.9995072,0.0001099511,0.00004763261,0.00009067167,0.0001517799,0.00009275631],"domain_scores_gemma":[0.9998304,0.00003056338,0.00003945754,0.00001948527,0.0000466275,0.00003345213],"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":[0.0001523921,0.0002464378,0.001068469,0.0002650097,0.00003824138,0.0002695195,0.00003811969,0.005596808,0.9722443,0.001820868,0.0002387603,0.01802113],"study_design_scores_gemma":[0.0001019372,0.001782189,0.002542867,0.0000538335,0.00011912,0.0006427981,0.00007460781,0.02726493,0.9505138,0.001103483,0.01575549,0.00004482857],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6529922,0.008048886,0.3262829,0.001197334,0.0001871204,0.002234626,0.0007454549,0.0007043123,0.007607114],"genre_scores_gemma":[0.7580692,0.006427569,0.2312701,0.0005480092,0.00005508614,0.0006465118,0.001293131,0.00005713894,0.001633224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001157924,"threshold_uncertainty_score":0.006123781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05917013301560799,"score_gpt":0.3371124990293627,"score_spread":0.2779423660137548,"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."}}