{"id":"W2531422715","doi":"10.1182/blood.v126.23.2375.2375","title":"Distinct Regulatory Networks Govern Human Hematopoietic Stem Cell Across Development","year":2015,"lang":"en","type":"article","venue":"Blood","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Stem cell; Biology; Haematopoiesis; CD90; Embryonic stem cell; Hematopoietic stem cell; Cell biology; CD34; Immunology; Stem cell factor; Bone marrow; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009047275,0.0001036281,0.00009058852,0.0002183099,0.00009354212,0.0003339712,0.0001010855,0.00009705782,0.001328782],"category_scores_gemma":[0.0001148586,0.00009668314,0.0001009848,0.0001317885,0.0001302669,0.0001403017,0.0001659617,0.0001709792,0.0003391833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002192628,"about_ca_system_score_gemma":0.0001812887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005794871,"about_ca_topic_score_gemma":0.0007221372,"domain_scores_codex":[0.9999195,0.000009385757,0.000003533663,0.00003050169,0.00002315841,0.00001389498],"domain_scores_gemma":[0.9999323,0.00001377034,0.00002138869,0.000005143703,0.00001439017,0.00001299857],"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":[0.0001437643,0.00001449447,0.008829875,0.00005232503,0.000008331027,0.0000852162,0.0001145138,0.0003301507,0.9792475,0.001266857,0.0002575715,0.009649417],"study_design_scores_gemma":[0.00002296414,0.0003294462,0.2469995,0.00003516921,0.00005774545,0.0007711677,0.0002504124,0.008383794,0.7255452,0.001312768,0.01627536,0.0000163989],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988753,0.00189066,0.005756753,0.00006832241,0.000009250887,0.00003021225,0.0007120469,0.0001672118,0.002612635],"genre_scores_gemma":[0.9955148,0.0004936293,0.001421285,0.00002766048,0.000005269728,0.00002646239,0.0006533968,0.00001456924,0.001842987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001328782,"threshold_uncertainty_score":0.004445255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02011523908273272,"score_gpt":0.2321107735417344,"score_spread":0.2119955344590017,"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."}}