{"id":"W4399614387","doi":"10.21769/bioprotoc.5021","title":"A Flow Cytometry–Based Method for Assessing CAR Cell Binding Kinetics Using Stable CAR Jurkat Cells","year":2024,"lang":"en","type":"article","venue":"BIO-PROTOCOL","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Institute of Infection and Immunity; University of Ottawa","funders":"","keywords":"Jurkat cells; Flow cytometry; Kinetics; Flow (mathematics); Chemistry; Cell biology; Computer science; Cancer research; Molecular biology; Immunology; Biology; T cell; Physics; Mechanics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00273174,0.002587063,0.001414704,0.003217314,0.001346748,0.001570749,0.002003808,0.002398338,0.008129552],"category_scores_gemma":[0.001978303,0.000883481,0.00102335,0.002112648,0.0009463067,0.00130851,0.000873148,0.004860788,0.004366004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001251775,"about_ca_system_score_gemma":0.001213868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009988643,"about_ca_topic_score_gemma":0.001603994,"domain_scores_codex":[0.9950172,0.0009086995,0.0006299794,0.001555888,0.00145582,0.0004324746],"domain_scores_gemma":[0.997714,0.0008704319,0.0002964573,0.0003475655,0.0006463722,0.0001250595],"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":[0.0001236353,0.0001746539,0.0004612196,0.0002486344,0.00003167528,0.00004447357,0.0001262252,0.0002442841,0.9863696,0.0007948754,0.001283099,0.01009775],"study_design_scores_gemma":[0.00003703523,0.0002088895,0.00162778,0.0000371706,0.00005188911,0.0002720514,0.00004594245,0.007125835,0.9811214,0.0004783407,0.008917557,0.00007606706],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07072976,0.002362804,0.903167,0.0006231839,0.0008781474,0.002184703,0.004461629,0.008922259,0.006670528],"genre_scores_gemma":[0.1525266,0.003668485,0.8142271,0.0008850445,0.0003318024,0.009360053,0.006611808,0.001080088,0.01130906],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008129552,"threshold_uncertainty_score":0.02719611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09766097975005007,"score_gpt":0.4541910561190355,"score_spread":0.3565300763689854,"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."}}