{"id":"W2132242229","doi":"10.1080/146532400539242","title":"Stem cell enumeration by flow cytometry: Current concepts and recent developments in CD34+ cell enumeration","year":2000,"lang":"en","type":"article","venue":"Cytotherapy","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre","funders":"","keywords":"Enumeration; Flow cytometry; CD34; Stem cell; Cell; Current (fluid); Biology; Computational biology; Computer science; Immunology; Cell biology; Mathematics; Physics; Combinatorics; Genetics","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":[0.0001111058,0.0001774497,0.0001429549,0.00004403182,0.00007511533,0.00004933255,0.00008990286,0.0001351993,0.0001173906],"category_scores_gemma":[0.000001281142,0.0001809279,0.00003072661,0.0001179355,0.00003374504,0.00001011606,0.000008084909,0.00009734675,0.00001652136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003646082,"about_ca_system_score_gemma":0.00005878945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001419462,"about_ca_topic_score_gemma":0.00002289384,"domain_scores_codex":[0.9990032,0.0000748779,0.0002410692,0.0003498219,0.0001183539,0.0002127256],"domain_scores_gemma":[0.9996911,0.000006870559,0.00004888941,0.0001463701,0.0000371114,0.00006965267],"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":[0.0001231283,0.0002128622,0.003806731,0.00001590667,0.000007876506,6.617669e-7,0.0003299063,0.00005012075,0.7051336,0.00000121412,0.001172607,0.2891454],"study_design_scores_gemma":[0.001791955,0.000199792,0.001004514,0.00001320821,0.000004268564,0.000001342846,0.00002615166,0.0003015103,0.7063642,0.000005839758,0.2900459,0.000241409],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890008,0.007131307,0.00251517,0.00005432474,0.0002024331,0.0002692073,0.00002855224,0.00001311469,0.0007851213],"genre_scores_gemma":[0.9811679,0.01624856,0.0007019911,0.0003584616,0.0001022504,0.00002757043,0.0003254565,0.00002887021,0.001038949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.288904,"threshold_uncertainty_score":0.7378025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009897152602824128,"score_gpt":0.2464582152562839,"score_spread":0.2365610626534598,"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."}}