{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000183901,0.0002102464,0.0004176859,0.000216513,0.0002761971,0.00006841488,0.0003073434,0.0003460066,0.00002201989],"category_scores_gemma":[0.00006508114,0.0002213012,0.0001703225,0.00009245733,0.0003086856,0.00001903495,0.00009349822,0.00009857696,0.000002255041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002022451,"about_ca_system_score_gemma":0.00003190151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004080008,"about_ca_topic_score_gemma":0.0008963085,"domain_scores_codex":[0.9986829,0.00007398806,0.0004398489,0.0004462721,0.00006395322,0.0002930995],"domain_scores_gemma":[0.9988044,0.00002948529,0.0003037873,0.0007125043,0.0001107968,0.00003904382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002909221,0.0001187554,0.06364568,0.00001815909,0.0003675215,0.000002228551,0.0001658083,0.00003617653,0.9343168,0.0001160399,0.00009329463,0.0008286095],"study_design_scores_gemma":[0.00497793,0.0007423101,0.6035126,0.00003233723,0.0002821294,0.00001765397,0.0001161384,0.006624561,0.3792781,0.0001005062,0.003752026,0.0005636326],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959975,0.001094071,0.002242482,0.00002846289,0.0001927683,0.0002314662,0.00005425362,0.00003186774,0.0001270624],"genre_scores_gemma":[0.9969938,0.0004948764,0.001629226,0.00003251301,0.00008045442,0.00002665927,0.0004728213,0.00002922957,0.0002404641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5550387,"threshold_uncertainty_score":0.9024402,"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."}}