{"id":"W4398193903","doi":"10.1016/j.jcyt.2024.03.191","title":"IDENTIFICATION OF GENE REGULATORY NETWORKS ESSENTIAL FOR HEMATOPOIETIC PROGENITOR CELL AND T CELL EMERGENCE FROM HUMAN PLURIPOTENT STEM CELL VIA CRISPR SCREENS","year":2024,"lang":"en","type":"article","venue":"Cytotherapy","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"","keywords":"CRISPR; Induced pluripotent stem cell; Biology; Progenitor cell; Cell; Identification (biology); Stem cell; Gene; Haematopoiesis; Hematopoietic stem cell; Computational biology; Cell biology; Genetics; Embryonic stem cell","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":[0.0002637958,0.0004869194,0.0003494413,0.0005828834,0.0002682978,0.0005389852,0.000435863,0.0003474983,0.001913768],"category_scores_gemma":[0.0002944946,0.0002936899,0.0004361028,0.0002373074,0.0004430292,0.0001581491,0.0003204388,0.0008721219,0.0004860409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006009142,"about_ca_system_score_gemma":0.0005227809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001124713,"about_ca_topic_score_gemma":0.003637212,"domain_scores_codex":[0.9997336,0.00003047212,0.0000259549,0.000072189,0.00008971352,0.00004795813],"domain_scores_gemma":[0.9997073,0.0001271564,0.00007846633,0.00003058399,0.00001944604,0.00003713517],"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":[0.00003755054,0.000009644778,0.0001171229,0.00001366018,0.000003892364,0.00005963807,0.000008363921,0.0002587296,0.9983529,0.0003080576,0.00003925172,0.0007911151],"study_design_scores_gemma":[0.00001140883,0.0000349756,0.001150525,0.000002707303,0.00001474999,0.00008356231,0.00001261674,0.001686187,0.9955615,0.000105471,0.001331948,0.000004357354],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9032834,0.0009722124,0.08403953,0.0003484339,0.00007823156,0.0002333248,0.004110462,0.001285646,0.005648797],"genre_scores_gemma":[0.9753518,0.0004758734,0.01948595,0.0001513583,0.00001192215,0.000127831,0.001453747,0.0002686417,0.002672845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001913768,"threshold_uncertainty_score":0.006402135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00896466004140525,"score_gpt":0.2353068519838415,"score_spread":0.2263421919424363,"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."}}