{"id":"W3036965359","doi":"10.1158/2326-6074.tumimm18-b49","title":"Abstract B49: Development and characterization of a novel CA9 targeting dual-antibody T-cell engager for renal cell carcinoma","year":2020,"lang":"en","type":"article","venue":"Cancer Immunology Research","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Cancer research; Antigen; Flow cytometry; T cell; Immunotherapy; Biology; Antibody; Clear cell renal cell carcinoma; Immunology; Medicine; Immune system; Renal cell carcinoma; Pathology","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.000809072,0.0001701377,0.0003949284,0.0001939837,0.0002938593,0.00002069372,0.000159183,0.0001651743,0.0002454889],"category_scores_gemma":[0.0001659685,0.0001456731,0.00006985143,0.000302225,0.0003522086,0.00007335626,0.0002307248,0.0007804262,0.00001756057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007891392,"about_ca_system_score_gemma":0.0008031771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001843193,"about_ca_topic_score_gemma":0.000004264593,"domain_scores_codex":[0.9979747,0.00009416697,0.0004285421,0.0004297961,0.000437886,0.0006349345],"domain_scores_gemma":[0.9986261,0.0003166929,0.000105287,0.0001543731,0.0005987449,0.0001988333],"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":[0.001677178,0.000189442,0.009851594,0.001067263,0.00008253451,0.00002909697,0.002123299,0.000001337153,0.9810045,0.00004597848,0.0003762628,0.003551518],"study_design_scores_gemma":[0.002466246,0.0005660863,0.1432349,0.00008552094,0.00001819785,0.00001028676,0.0003891899,0.0003571435,0.8117724,0.000003380318,0.04094429,0.0001523092],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916124,0.00315672,0.0001634884,0.003275832,0.00007400334,0.0007614947,0.0001024953,0.00001635643,0.0008372294],"genre_scores_gemma":[0.9953759,0.0006752841,0.001058019,0.0001683968,0.0002596936,0.0001516881,0.0003401301,0.00003389284,0.001936941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1692321,"threshold_uncertainty_score":0.5940377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1071352995095854,"score_gpt":0.3795956811928061,"score_spread":0.2724603816832206,"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."}}