{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03137049,0.001643111,0.001619663,0.002129117,0.001057028,0.003018601,0.001808045,0.002455844,0.00116961],"category_scores_gemma":[0.05359711,0.0007898287,0.0008228112,0.001247703,0.002645856,0.00153012,0.002126872,0.002148558,0.001025069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001049554,"about_ca_system_score_gemma":0.0009563408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009714424,"about_ca_topic_score_gemma":0.00180677,"domain_scores_codex":[0.9546711,0.02219664,0.005484782,0.003946038,0.01262733,0.00107423],"domain_scores_gemma":[0.9396138,0.03659454,0.004759969,0.007886177,0.01062836,0.000517139],"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":[0.001085411,0.0003434629,0.04197142,0.001119856,0.0002088109,0.0002317488,0.002185063,0.005295478,0.8846402,0.004386233,0.001381172,0.05715115],"study_design_scores_gemma":[0.00004359568,0.001438775,0.0374379,0.0002895372,0.0002032259,0.0006399969,0.0004166917,0.02508887,0.9222625,0.002975418,0.009040819,0.0001625219],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3247578,0.006721804,0.6562542,0.001264397,0.0007051016,0.001647355,0.0007447386,0.001218758,0.006685973],"genre_scores_gemma":[0.6354848,0.001685266,0.354532,0.0009860049,0.0001579476,0.002761732,0.001378766,0.0004827825,0.002530772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03137049,"threshold_uncertainty_score":0.165905,"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."}}