{"id":"W4313383005","doi":"10.4049/jimmunol.202.supp.134.16","title":"Ex Vivo Phenotyping and Potency Monitoring of CD19 CAR T Cells With a combined Flow Cytometry and Impedance-based Real-Time Cell Analysis Workflow","year":2019,"lang":"en","type":"article","venue":"The Journal of Immunology","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Altasciences (Canada)","funders":"","keywords":"CD19; T cell; Flow cytometry; CD8; Antigen; Immunophenotyping; Molecular biology; CD28; HEK 293 cells; Ex vivo; Cytotoxic T cell; Biology; Immunology; Cancer research; Chemistry; Immune system; Receptor; In vitro; Biochemistry","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":[0.0004345915,0.0005021971,0.0003904453,0.0006225674,0.0001307678,0.0005898072,0.0003037407,0.0004074803,0.00153179],"category_scores_gemma":[0.0003092575,0.0001733126,0.0002750155,0.0003464365,0.0001894251,0.0003481187,0.0002814316,0.0005076997,0.0006612007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002332979,"about_ca_system_score_gemma":0.0001482343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002003662,"about_ca_topic_score_gemma":0.0002098023,"domain_scores_codex":[0.9994698,0.00006409282,0.00004588911,0.000166224,0.0001932521,0.00006076265],"domain_scores_gemma":[0.9996912,0.00007001661,0.00007317168,0.00004127223,0.00009878587,0.00002555776],"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":[0.00007472986,0.00002929308,0.0006459129,0.00002377642,0.000004475691,0.00001572965,0.00002336787,0.0002506112,0.9955125,0.00004031527,0.0000467429,0.003332387],"study_design_scores_gemma":[0.000004593841,0.0001525694,0.002264747,0.00000300597,0.00001286891,0.00006475294,0.00001400384,0.00743595,0.9893892,0.00005858817,0.0005904178,0.000009299667],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8263386,0.0007825604,0.1675911,0.0001198903,0.00005346723,0.0001954553,0.001807016,0.001407439,0.001704439],"genre_scores_gemma":[0.9008895,0.0007074146,0.09237074,0.0001200956,0.00003831523,0.0005162975,0.001462253,0.000146964,0.003748474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00153179,"threshold_uncertainty_score":0.005124331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00887441052586603,"score_gpt":0.2522551966478969,"score_spread":0.2433807861220308,"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."}}