{"id":"W4417009721","doi":"10.1182/blood-2025-5962","title":"Individualizing apheresis processing volumes using a predictive algorithm: Analysis of the CAR T-cell collection protocol utilized in ACIT001/EXC002, a phase lb/ll trial of decentralized production of CAR T-cells for treatment of relapsed/refractory aggressive NHL and ALL","year":2025,"lang":"en","type":"article","venue":"Blood","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Foothills Medical Centre; University of Alberta","funders":"","keywords":"Apheresis; Leukapheresis; Blood collection; Plateletpheresis; Data collection; Chimeric antigen receptor","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":[0.004591546,0.0004924442,0.0005060252,0.0006370109,0.0002167845,0.0009997427,0.0005697881,0.0004157759,0.0004645656],"category_scores_gemma":[0.00887992,0.0001747253,0.0003390313,0.000532071,0.0002820174,0.0003703167,0.0002918705,0.0005944561,0.0001302398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008729866,"about_ca_system_score_gemma":0.001191769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002159334,"about_ca_topic_score_gemma":0.001294041,"domain_scores_codex":[0.9988819,0.0005393825,0.00007780767,0.0002076411,0.0002403766,0.00005296326],"domain_scores_gemma":[0.9942552,0.004120799,0.0006158349,0.0003379531,0.0005122842,0.0001579292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01904335,0.002925648,0.2831047,0.0002487485,0.0005494617,0.000236689,0.0003865786,0.2881652,0.03079205,0.001343622,0.002564899,0.370639],"study_design_scores_gemma":[0.0004231322,0.003729449,0.05567604,0.00001974876,0.0001897395,0.0001902813,0.00005918863,0.9223669,0.01596234,0.0004519686,0.0009001125,0.00003106601],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778872,0.0003154651,0.02012181,0.000097757,0.00001477256,0.0002875892,0.0001765743,0.0003829132,0.0007157541],"genre_scores_gemma":[0.9792271,0.00008120407,0.0198286,0.00006447652,0.000009667425,0.000149635,0.0003735987,0.00003123405,0.0002344923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004591546,"threshold_uncertainty_score":0.02428269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04184067357787266,"score_gpt":0.3720435590733941,"score_spread":0.3302028854955215,"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."}}