{"id":"W3117204159","doi":"10.1002/cyto.b.21985","title":"Best practices for the development, analytical validation and clinical implementation of flow cytometric methods for chimeric antigen receptor T cell analyses","year":2020,"lang":"en","type":"review","venue":"Cytometry Part B Clinical Cytometry","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Caprion (Canada)","funders":"Genentech; Navigate BioPharma; Dana-Farber Cancer Institute; American Association of Pharmaceutical Scientists","keywords":"Flow cytometry; Chimeric antigen receptor; Computational biology; Immunology; Medicine; Computer science; Biology; Immunotherapy; Immune 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01255325,0.001667216,0.001588643,0.005447218,0.0005766805,0.002735819,0.003268627,0.003309447,0.004409274],"category_scores_gemma":[0.009445141,0.0008222371,0.001422731,0.002991517,0.001805017,0.003487449,0.00166157,0.004759331,0.005736414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002239234,"about_ca_system_score_gemma":0.006981314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002199085,"about_ca_topic_score_gemma":0.002269323,"domain_scores_codex":[0.9956483,0.001238525,0.0006729286,0.0004740825,0.001721864,0.0002442368],"domain_scores_gemma":[0.9927179,0.002922124,0.0007459142,0.0005145814,0.00286321,0.000236243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006958171,0.0001935653,0.0002155505,0.01787305,0.00007782623,0.0002605521,0.0001956534,0.0008438488,0.005522913,0.02225995,0.0293385,0.9231489],"study_design_scores_gemma":[0.00002583115,0.000126143,0.0004331639,0.008898173,0.00009661888,0.0006296709,0.0001070868,0.0002352538,0.005035551,0.00554706,0.978817,0.00004840308],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.0004388763,0.9693409,0.01511508,0.004822877,0.001554423,0.0002585044,0.0001740464,0.0001382721,0.00815715],"genre_scores_gemma":[0.00278079,0.964618,0.02756731,0.001454031,0.0005153794,0.0003513781,0.0003118722,0.00004041393,0.002360758],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01255325,"threshold_uncertainty_score":0.06638873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6283747946379605,"score_gpt":0.680735279101053,"score_spread":0.05236048446309249,"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."}}