{"id":"W4394566058","doi":"10.3390/microorganisms12040742","title":"Evaluation of a Reverse Transcription-Quantitative Polymerase Chain Reaction (RT-qPCR)-Based Microneutralization Assay for Assessing Clinical Human Cytomegalovirus-Neutralizing Antibody Activity","year":2024,"lang":"en","type":"article","venue":"Microorganisms","topic":"Cytomegalovirus and herpesvirus research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Provincial Laboratory of Public Health; University of Alberta","funders":"University of Alberta; Alberta Innovates; Alberta Innovates - Technology Futures","keywords":"Neutralization; Human cytomegalovirus; Virology; Antibody; Neutralizing antibody; Immunostaining; Real-time polymerase chain reaction; Reverse transcription polymerase chain reaction; Biology; Saliva; Molecular biology; Virus; Immunology; Messenger RNA; Immunohistochemistry; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006955751,0.0003287131,0.0006558184,0.0006377683,0.0002845491,0.0001895166,0.0001337665,0.0003523383,0.0003225713],"category_scores_gemma":[0.0003462808,0.0003233835,0.0004568815,0.0007999283,0.0002280945,0.0005888339,0.00002272776,0.0005246509,0.00006222747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005573922,"about_ca_system_score_gemma":0.0011347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005398697,"about_ca_topic_score_gemma":0.0001565031,"domain_scores_codex":[0.9961622,0.0008360366,0.0008709726,0.0007575325,0.0009030864,0.0004702069],"domain_scores_gemma":[0.9978602,0.0004223633,0.0002492966,0.0004031293,0.0008751782,0.0001898219],"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":[0.0004614326,0.0006297935,0.0008725181,0.0006961664,0.0002624882,0.00001349437,0.0004568687,0.00002329362,0.9833375,0.0005179486,0.0006153606,0.01211317],"study_design_scores_gemma":[0.00433903,0.0007191671,0.01323561,0.0008244975,0.001199359,0.00002519524,0.000257973,0.01574171,0.9580664,0.000232421,0.004989329,0.0003692748],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9587734,0.0008311697,0.03612181,0.001093698,0.0004885534,0.001948075,0.0001724599,0.0001434218,0.0004274455],"genre_scores_gemma":[0.9954775,0.00007381426,0.003012833,0.0001936698,0.0002649279,0.00006345844,0.0004957033,0.0001125687,0.0003055511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0367041,"threshold_uncertainty_score":0.9999218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1425679318855951,"score_gpt":0.4680032329542093,"score_spread":0.3254353010686142,"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."}}