{"id":"W4312079433","doi":"10.21203/rs.3.rs-2378631/v1","title":"Harnessing CD3 diversity to optimise CAR T cells","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission; Deutsche Forschungsgemeinschaft; European Federation of Pharmaceutical Industries and Associations; McGill University","keywords":"Diversity (politics); Business; Computer science; Sociology; Anthropology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001934246,0.0002791284,0.0001900141,0.000169676,0.0001382355,0.0005533242,0.000188233,0.0002618643,0.001565217],"category_scores_gemma":[0.0001693307,0.0001038842,0.0001598025,0.0002107369,0.0002133962,0.0002604587,0.0003706326,0.0005528643,0.0007067103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003181973,"about_ca_system_score_gemma":0.0001825784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002775976,"about_ca_topic_score_gemma":0.0003958143,"domain_scores_codex":[0.999878,0.00001819035,0.00000663345,0.00002566831,0.00002698055,0.00004441617],"domain_scores_gemma":[0.9999385,0.00001341563,0.00001154725,0.00000789057,0.00001103998,0.00001750625],"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":[0.0001167932,0.0000351079,0.0002261648,0.00004642741,0.000005425174,0.00005848123,0.00001930891,0.001477383,0.9922177,0.0006611201,0.0001526661,0.004983469],"study_design_scores_gemma":[0.00002081994,0.00022403,0.0003199606,0.000003863625,0.00001150495,0.0001316041,0.00001937329,0.003641844,0.989069,0.0003120507,0.006239973,0.000005900873],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969946,0.001896021,0.02301424,0.0002692796,0.0000614368,0.00005743341,0.0003305782,0.000312075,0.004113022],"genre_scores_gemma":[0.9915949,0.000541424,0.006242498,0.00006761044,0.000009711509,0.00002620383,0.0001771815,0.00004178747,0.001298791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001565217,"threshold_uncertainty_score":0.005236149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.136313577755167,"score_gpt":0.4348810291981949,"score_spread":0.298567451443028,"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."}}