{"id":"W4296782706","doi":"10.1128/spectrum.02811-22","title":"Utilization of the Abbott SARS-CoV-2 IgG II Quant Assay To Identify High-Titer Anti-SARS-CoV-2 Neutralizing Plasma against Wild-Type and Variant SARS-CoV-2 Viruses","year":2022,"lang":"en","type":"article","venue":"Microbiology Spectrum","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Public Health Ontario; University of Toronto; Canadian Blood Services; Lunenfeld-Tanenbaum Research Institute; University of Alberta","funders":"Canadian Institutes of Health Research; Alberta Innovates; Alberta Innovates - Health Solutions; Government of Canada","keywords":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Coronavirus disease 2019 (COVID-19); Titer; Food and drug administration; 2019-20 coronavirus outbreak; Convalescent plasma; Medicine; Pandemic; Virus; Pharmacology; Infectious disease (medical specialty); Internal medicine; Disease; Outbreak","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001324279,0.0006392168,0.001127315,0.0007325216,0.0008537335,0.00009412179,0.0009154003,0.0003913241,0.00002192915],"category_scores_gemma":[0.0003296645,0.0005244897,0.0002960262,0.001755572,0.0005657792,0.0001962607,0.001483389,0.001071742,0.00009876882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003969634,"about_ca_system_score_gemma":0.0004970059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001778732,"about_ca_topic_score_gemma":0.00125654,"domain_scores_codex":[0.9952578,0.0007771498,0.001037798,0.00127667,0.0004290905,0.001221497],"domain_scores_gemma":[0.9978524,0.0002373518,0.0004010853,0.001235426,0.0002285136,0.00004517854],"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":[0.0007503746,0.0004743174,0.01564855,0.0001202379,0.0003019208,0.0001860804,0.001055045,0.000006486416,0.9725477,0.0009422174,0.007701957,0.0002651152],"study_design_scores_gemma":[0.002030997,0.0008724095,0.005425835,0.0001153382,0.0001582196,0.000563084,0.0001742221,0.0002035941,0.8486104,0.0002318004,0.1411544,0.0004596724],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921585,0.0006284163,0.0001878185,0.003421967,0.001486122,0.001370634,0.0002393361,0.0001590122,0.0003481662],"genre_scores_gemma":[0.9355807,0.00003663904,0.0002175927,0.0636669,0.0001974547,0.0000664692,0.0000782306,0.0001138268,0.00004215107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1334524,"threshold_uncertainty_score":0.9997207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07058400745687958,"score_gpt":0.3565100178996395,"score_spread":0.2859260104427599,"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."}}