{"id":"W2436661746","doi":"10.1385/1-59259-140-x:029","title":"Flow Cytometry and Immunoselection of Human Stem Cells","year":2003,"lang":"en","type":"article","venue":"Humana Press eBooks","topic":"Hematopoietic Stem Cell Transplantation","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; Occupational Cancer Research Centre; Stemcell Technologies","funders":"National Cancer Institute; National Institutes of Health","keywords":"Haematopoiesis; Flow cytometry; Stem cell; Cord blood; Bone marrow; Cytotoxic T cell; Cell biology; Biology; Hematopoietic stem cell; Cell; Immunology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001711995,0.0001125992,0.000235466,0.0001140094,0.00007088134,0.00001209599,0.00003833178,0.00008161632,0.0000392602],"category_scores_gemma":[0.00000336071,0.0001083977,0.00004483021,0.00002614144,0.00006645052,0.00002696712,0.000007517945,0.0001072623,0.000003285849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002046254,"about_ca_system_score_gemma":0.00001896386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004768627,"about_ca_topic_score_gemma":0.000005227881,"domain_scores_codex":[0.9991484,0.00006102223,0.0002709497,0.0001821452,0.0001893744,0.0001481001],"domain_scores_gemma":[0.9995382,0.00003994438,0.00007966616,0.0002184339,0.00006105706,0.00006272517],"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":[0.0001269812,0.0002108494,0.0006347969,0.002361705,0.0002281878,0.00004525096,0.004373617,0.000009008199,0.95622,0.01795777,0.0002810198,0.01755077],"study_design_scores_gemma":[0.001447809,0.0002815729,0.001246043,0.0001877191,0.0001606181,0.00006736413,0.0001230194,0.00007558119,0.9937521,0.0001027068,0.002437184,0.0001182531],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8721799,0.001481938,0.001168255,0.000002254677,0.0001326159,0.000516596,0.000005498713,0.00007091875,0.124442],"genre_scores_gemma":[0.9952573,0.00007653757,0.0004780405,0.00002035593,0.00002326576,0.00001527947,0.000004095796,0.00002164383,0.004103438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1230774,"threshold_uncertainty_score":0.4420328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0454265200021955,"score_gpt":0.2839332773340334,"score_spread":0.2385067573318379,"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."}}