{"id":"W2957244235","doi":"10.1016/j.omtm.2019.06.010","title":"Quantifying Antibody Responses Induced by Antigen-Agnostic Immunotherapies","year":2019,"lang":"en","type":"article","venue":"Molecular Therapy — Methods & Clinical Development","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Institute of Cancer Research; Natural Sciences and Engineering Research Council of Canada; Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Ontario Veterinary College, University of Guelph; Terry Fox Research Institute; University of Guelph","keywords":"Antigen; Antibody; Immunology; Isotype; Biology; Context (archaeology); Antibody-dependent cell-mediated cytotoxicity; Immunotherapy; Virology; Immune system; Monoclonal antibody","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001607991,0.001028322,0.0004608422,0.0009714813,0.0002751946,0.0005290313,0.0005289937,0.001190315,0.0019948],"category_scores_gemma":[0.001007224,0.0003824341,0.0004456326,0.000751267,0.0004966725,0.00046384,0.0003905536,0.001740135,0.0006086531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006422597,"about_ca_system_score_gemma":0.0003420194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005825695,"about_ca_topic_score_gemma":0.0009271415,"domain_scores_codex":[0.9983464,0.0005087312,0.00010292,0.0003230653,0.0005035856,0.0002153271],"domain_scores_gemma":[0.9991348,0.0003430429,0.0001671657,0.00007937026,0.0002209164,0.00005459082],"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":[0.00006262995,0.00005871802,0.000303155,0.0001059581,0.00001327578,0.00001702208,0.00003079711,0.0001356387,0.9961219,0.0001245896,0.00007744713,0.002948768],"study_design_scores_gemma":[0.00001596128,0.0004202674,0.002338378,0.00001351824,0.00003319828,0.00005553471,0.00002519582,0.001655046,0.9936978,0.0001154423,0.001621397,0.000008272665],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8195616,0.006566009,0.1628606,0.0002353945,0.0003087531,0.0007448427,0.000985755,0.0009797961,0.007757195],"genre_scores_gemma":[0.8145418,0.009313223,0.1574253,0.001088068,0.000129131,0.002174901,0.001891321,0.0002745546,0.0131616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0019948,"threshold_uncertainty_score":0.008503914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1792592789538001,"score_gpt":0.5311304195228592,"score_spread":0.3518711405690591,"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."}}