{"id":"W4281618698","doi":"10.1038/s41375-022-01602-4","title":"Elucidating the importance and regulation of key enhancers for human MEIS1 expression","year":2022,"lang":"en","type":"article","venue":"Leukemia","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; Canada's Michael Smith Genome Sciences Centre; University of British Columbia; Terry Fox Research Institute","funders":"Canadian Institutes of Health Research; Leukemia and Lymphoma Society of Canada; Michael Smith Health Research BC; Government of Canada; Terry Fox Foundation; Genome British Columbia","keywords":"Transcription factor; Enhancer; Biology; Myeloid leukemia; In silico; Cancer research; Locus (genetics); Transcriptional regulation; Regulation of gene expression; Regulator; Genetics; Gene; Cell biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001190341,0.00004521883,0.00004756035,0.0000090171,0.000129452,0.000003899486,0.00006668124,0.00002167197,0.00001387117],"category_scores_gemma":[0.00001712836,0.00003843813,0.00002450056,0.00002576054,0.00001736401,0.000001077358,0.00007289465,0.00003573365,4.306163e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001600075,"about_ca_system_score_gemma":0.00002128594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006966468,"about_ca_topic_score_gemma":0.000007195658,"domain_scores_codex":[0.9996501,0.00001158678,0.00009752229,0.0001152074,0.00005436338,0.00007119476],"domain_scores_gemma":[0.9997726,0.000008893719,0.00005174959,0.000141031,0.00001353835,0.0000122002],"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":[0.00001263654,0.000001934969,0.0004842672,0.00001421743,0.000004893705,4.647558e-8,0.00009609309,0.003204204,0.9945904,0.0001557083,0.000591857,0.0008437542],"study_design_scores_gemma":[0.0002281763,0.00008179485,0.003141164,0.000004960969,0.000005965094,0.000002178087,0.0001549325,0.0007564953,0.9837445,0.0001760991,0.0116474,0.00005632708],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843327,0.0005993142,0.01459279,0.00002913311,0.00004645869,0.0001253989,0.000007799674,0.000004117283,0.0002622342],"genre_scores_gemma":[0.9985313,0.00001252335,0.0009457408,0.00004053148,0.00006805117,0.00004833555,0.00005050522,0.000008100268,0.0002948458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01419861,"threshold_uncertainty_score":0.1567462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007532661366015999,"score_gpt":0.2841389395452401,"score_spread":0.2766062781792241,"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."}}