{"id":"W4402363529","doi":"10.4049/immunohorizons.2300095","title":"Improving Reliability of Immunological Assays by Defining Minimal Criteria for Cell Fitness","year":2024,"lang":"en","type":"article","venue":"ImmunoHorizons","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University Health Centre; Montreal Heart Institute; BC Children's Hospital; University of British Columbia","funders":"Institute of Nutrition, Metabolism and Diabetes; Institute of Infection and Immunity; Genome Canada; Canadian Institutes of Health Research; Genome British Columbia; Institute of Genetics; Government of Canada","keywords":"Cryopreservation; Peripheral blood mononuclear cell; Flow cytometry; Biology; Biomarker; Viability assay; Immune system; Cell; Immunology; Coefficient of variation; Computational biology; Cell biology; In vitro; Chemistry; Genetics; Embryo","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001160933,0.0002227874,0.0004900782,0.0001371821,0.0001082875,0.00007395305,0.0002465506,0.0002364195,0.001706619],"category_scores_gemma":[0.0005666473,0.0001878282,0.0003306794,0.0003219287,0.0002601689,0.0001197823,0.0001526219,0.000497348,0.00004392333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001845137,"about_ca_system_score_gemma":0.0002849149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001821545,"about_ca_topic_score_gemma":0.000001203665,"domain_scores_codex":[0.9980026,0.0001091937,0.0005262287,0.000507465,0.0003267282,0.0005278155],"domain_scores_gemma":[0.998072,0.0009363925,0.00006708199,0.0006125343,0.0002191984,0.00009280237],"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":[0.0008812093,0.0002524611,0.0003949248,0.0006529138,0.00007740636,0.000015847,0.0002274102,3.423809e-7,0.9517339,0.0002539594,0.003028124,0.04248152],"study_design_scores_gemma":[0.003834354,0.00645624,0.002641746,0.0004620255,0.0003071324,0.00009947174,0.0008505582,0.003701834,0.8705159,0.0006617901,0.1099102,0.0005588094],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776407,0.01068002,0.00233269,0.0006863082,0.0007901733,0.0009966564,0.0002949455,0.0002138779,0.006364611],"genre_scores_gemma":[0.989163,0.000179108,0.004330154,0.00002595743,0.0001218468,0.000185777,0.0001483472,0.0000663041,0.005779487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.106882,"threshold_uncertainty_score":0.9992059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02550995418780715,"score_gpt":0.3363704938689318,"score_spread":0.3108605396811246,"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."}}