{"id":"W4313359619","doi":"10.4049/jimmunol.200.supp.51.13","title":"Efficient Enrichment of Functional ILC Subsets from Human PBMC by Immunomagnetic Selection","year":2018,"lang":"en","type":"article","venue":"The Journal of Immunology","topic":"IL-33, ST2, and ILC Pathways","field":"Immunology and Microbiology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Terry Fox Research Institute; BC Cancer Agency; Stemcell Technologies","funders":"","keywords":"Cell sorting; Biology; Immunomagnetic separation; Interleukin-7 receptor; Peripheral blood mononuclear cell; Immune system; Innate lymphoid cell; Immunology; Flow cytometry; Innate immune system; T cell; Molecular biology; In vitro; Biochemistry","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":[0.0003109089,0.0004718848,0.0004296299,0.0004142663,0.0002216648,0.000453239,0.0003069253,0.0002634854,0.001830089],"category_scores_gemma":[0.0003731099,0.0001509627,0.0002528715,0.0002273397,0.0001372339,0.0001064422,0.0004479265,0.000548679,0.002019494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001044384,"about_ca_system_score_gemma":0.0002328497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003383592,"about_ca_topic_score_gemma":0.0005459681,"domain_scores_codex":[0.9995707,0.00009181938,0.00003472407,0.00008415301,0.0001433491,0.00007536265],"domain_scores_gemma":[0.9998573,0.0000389274,0.0000129248,0.00002490439,0.000041236,0.00002472834],"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":[0.0001584356,0.00003670148,0.0006594096,0.00006102704,0.000006813694,0.00004756841,0.00002836271,0.00009260108,0.9901354,0.00008277411,0.0005066335,0.008184332],"study_design_scores_gemma":[0.00005924786,0.0003948505,0.008393976,0.00004912513,0.00005587509,0.000540751,0.00003777159,0.002975683,0.9610425,0.0001318689,0.02630424,0.00001417554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8319158,0.009894697,0.1370822,0.0005925336,0.0004391384,0.001772636,0.004008881,0.001142202,0.013152],"genre_scores_gemma":[0.8823639,0.002787122,0.09175856,0.0008622074,0.0002702235,0.001571948,0.008984927,0.0003163876,0.01108485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001830089,"threshold_uncertainty_score":0.006122291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01019751587180786,"score_gpt":0.2159638648837,"score_spread":0.2057663490118922,"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."}}