{"id":"W2753308782","doi":"10.1016/j.humimm.2017.06.317","title":"P257 Automated isolation of lymphoid (CD3+, CD19+, CD56+) and myeloid (CD33/CD66B+, CD15+) subsets for use in lineage-specific chimerism analysis","year":2017,"lang":"en","type":"article","venue":"Human Immunology","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Stemcell Technologies","funders":"","keywords":"CD15; CD19; Myeloid; CD33; CD3; Flow cytometry; Buffy coat; Biology; Immunomagnetic separation; T cell; Immunology; Molecular biology; CD34; Antigen; Stem cell; Genetics; Immune system; CD8","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":[0.0003749675,0.0004833056,0.0003375241,0.0005751868,0.0005558059,0.0006803689,0.0005558748,0.0004192351,0.009968984],"category_scores_gemma":[0.0003600653,0.0004281766,0.0002568805,0.0004547512,0.0003019578,0.0003068156,0.0004312248,0.0006587037,0.005370747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002427614,"about_ca_system_score_gemma":0.0004744561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008812127,"about_ca_topic_score_gemma":0.00277389,"domain_scores_codex":[0.9996935,0.00002170794,0.00001831943,0.0001113137,0.0001109099,0.00004419597],"domain_scores_gemma":[0.9998249,0.00005083457,0.00001887202,0.00004668817,0.0000346745,0.00002403239],"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":[0.00006827893,0.00002044145,0.0004451303,0.00002810474,0.000005844399,0.0000474265,0.00002967465,0.000187449,0.988019,0.0005353066,0.0007704674,0.009842683],"study_design_scores_gemma":[0.00001887287,0.00007626176,0.004371467,0.000009631362,0.00001775599,0.0002141459,0.00002350456,0.008086273,0.9744918,0.0004564912,0.01222423,0.000009569415],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3321853,0.0005677844,0.6264865,0.0003714244,0.0001521759,0.0007464054,0.008644861,0.009936956,0.02090853],"genre_scores_gemma":[0.3642048,0.0008054496,0.5883191,0.0003514134,0.00006426858,0.002212497,0.01634886,0.002870947,0.02482268],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009968984,"threshold_uncertainty_score":0.03334963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03172446391133677,"score_gpt":0.2778180424468417,"score_spread":0.2460935785355049,"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."}}