{"id":"W3103590274","doi":"10.1016/j.jim.2020.112931","title":"A method for expansion and retroviral transduction of mouse regulatory T cells","year":2020,"lang":"en","type":"article","venue":"Journal of Immunological Methods","topic":"T-cell and B-cell Immunology","field":"Immunology and Microbiology","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"Canadian Institutes of Health Research; Crohn's and Colitis Canada; Michael Smith Health Research BC; BC Children's Hospital","keywords":"Transgene; Transduction (biophysics); Adoptive cell transfer; FOXP3; Biology; CD28; Cell therapy; Immunology; Cell sorting; Cell biology; Viral vector; Genetically modified organism; Signal transduction; T cell; Genetically modified mouse; Colitis; Cancer research; Immune system; Stem cell; Flow cytometry; Gene; Genetics; Recombinant DNA","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":[],"consensus_categories":[],"category_scores_codex":[0.001770761,0.0002323095,0.0009246271,0.0001440574,0.0001154386,0.000009634216,0.0003191428,0.0005768743,0.000191614],"category_scores_gemma":[0.0005110529,0.0001656964,0.0003704516,0.0001726453,0.0004169644,0.0001431881,0.00008525985,0.0007130394,0.000005803588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002834022,"about_ca_system_score_gemma":0.00006176892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006944896,"about_ca_topic_score_gemma":1.594924e-7,"domain_scores_codex":[0.9967721,0.001599115,0.0009850624,0.0002775912,0.00005441119,0.0003117898],"domain_scores_gemma":[0.9978052,0.0009524702,0.0007618756,0.0001885223,0.0002460127,0.00004595905],"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":[0.002171282,0.0001493972,0.00002637027,0.00004943857,0.0003000057,0.000003380498,0.0004411596,0.0000103095,0.8904262,0.0004378999,0.000309563,0.105675],"study_design_scores_gemma":[0.002673399,0.004282574,0.0002737157,0.00002722,0.0001693704,0.0001828514,0.0006510292,0.00002225121,0.9719822,0.0007099652,0.01885696,0.000168472],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7354451,0.01359452,0.2487253,0.001116537,0.0007763926,0.0002499336,0.00001505227,0.00003110113,0.0000460349],"genre_scores_gemma":[0.4088186,0.001114561,0.5891307,0.0003425319,0.00009533239,0.000008578461,0.000006502823,0.00002604815,0.0004571204],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3404054,"threshold_uncertainty_score":0.6756905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03646791075130828,"score_gpt":0.3185867891024517,"score_spread":0.2821188783511434,"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."}}