{"id":"W4404064451","doi":"10.1136/jitc-2024-sitc2024.1291","title":"1291 Profiling bispecific T-cell engagers: strategies for enhancing potency while minimizing cytokine release","year":2024,"lang":"en","type":"article","venue":"Regular and Young Investigator Award Abstracts","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"AbCellera (Canada)","funders":"","keywords":"Profiling (computer programming); Potency; Computer science; Bispecific antibody; Cytokine; Human–computer interaction; Chemistry; Medicine; Immunology; Antibody; Operating system","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001159359,0.0003927421,0.0005071518,0.0003347587,0.0002865548,0.000496954,0.0001459186,0.000256239,0.0001286489],"category_scores_gemma":[0.0004075144,0.0003554688,0.0002397289,0.0003772121,0.0002820008,0.0004402167,0.00005744943,0.0007424626,0.00003668355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001719536,"about_ca_system_score_gemma":0.001299339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000950967,"about_ca_topic_score_gemma":0.00002943933,"domain_scores_codex":[0.9971933,0.00008605317,0.0006155145,0.0007989358,0.0005687778,0.0007373813],"domain_scores_gemma":[0.9981292,0.0002957917,0.00009593077,0.000472522,0.0001843414,0.0008222123],"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":[0.0001714832,0.00007828364,0.0002366737,0.00230689,0.0001178055,0.0003823006,0.00119087,0.00006926855,0.9880864,0.0009553593,0.002558073,0.003846574],"study_design_scores_gemma":[0.001713118,0.0004882509,0.0006736858,0.001452569,0.0002547257,0.0004269858,0.004905349,0.002724883,0.9244624,0.002139251,0.06015917,0.0005995756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802872,0.007071819,0.0007447023,0.001498076,0.0006876608,0.001398501,0.00005740968,0.0004128565,0.007841781],"genre_scores_gemma":[0.9852941,0.0005128043,0.006235303,0.000196402,0.0009408669,0.0001132026,0.0001180173,0.0001405925,0.006448716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06362398,"threshold_uncertainty_score":0.9998897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03727982372611302,"score_gpt":0.2903729767150358,"score_spread":0.2530931529889228,"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."}}