{"id":"W3073609848","doi":"10.4049/jimmunol.2000687","title":"Tetramer Immunization and Selection Followed by CELLISA Screening to Generate Monoclonal Antibodies against the Mouse Cytomegalovirus m12 Immunoevasin","year":2020,"lang":"en","type":"article","venue":"The Journal of Immunology","topic":"Cytomegalovirus and herpesvirus research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity; University of Toronto","funders":"National Health and Medical Research Council; Australian Research Council; Cancer Research Institute; Medical Research Council; Canadian Institutes of Health Research; Parker Institute for Cancer Immunotherapy; Burroughs Wellcome Fund","keywords":"Monoclonal antibody; Biotinylation; Molecular biology; Fusion protein; High-throughput screening; Biology; Virology; Phage display; Antibody; Computational biology; Recombinant DNA; Immunology; Biochemistry","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":[0.0006766063,0.000847596,0.0005951202,0.0008157312,0.0003356265,0.0004564343,0.0007343167,0.0005438075,0.001809604],"category_scores_gemma":[0.0003502115,0.0003448447,0.0004853513,0.0006085922,0.0002755898,0.0002882231,0.0004539417,0.001716624,0.002070314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004579031,"about_ca_system_score_gemma":0.0003456398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005008192,"about_ca_topic_score_gemma":0.001120127,"domain_scores_codex":[0.9991762,0.0001369183,0.00007725541,0.0001523496,0.0003084287,0.0001488731],"domain_scores_gemma":[0.9997762,0.00004945994,0.00003865527,0.00004771163,0.00005649548,0.0000315623],"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":[0.00002577611,0.00003770268,0.00009612121,0.00002181296,0.000005218164,0.00001992914,0.00001542808,0.00008394194,0.9975392,0.0001276577,0.0001059362,0.001921272],"study_design_scores_gemma":[0.00001052723,0.000146683,0.0004649654,0.00000340157,0.00001215946,0.0001076893,0.000006603901,0.001458351,0.993495,0.000046585,0.004243235,0.000004718497],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6275388,0.00236635,0.3552,0.0003563633,0.0001816973,0.001939976,0.002413752,0.002386605,0.007616478],"genre_scores_gemma":[0.7198651,0.002801365,0.2552235,0.0005216943,0.0000785445,0.001918484,0.007112104,0.0003744523,0.01210483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001809604,"threshold_uncertainty_score":0.006053686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02837630559017974,"score_gpt":0.2854865279234499,"score_spread":0.2571102223332701,"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."}}