{"id":"W4214486663","doi":"10.1021/acssynbio.1c00600","title":"Design of Synthetic Mammalian Promoters Using Highly Palindromic Subsequences","year":2022,"lang":"en","type":"article","venue":"ACS Synthetic Biology","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Institute of Aging; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Promoter; Palindrome; Palindromic sequence; Enhancer; Biology; Gene; Genetics; CRISPR; Computational biology; Gene expression","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":[0.0004263792,0.0001982129,0.0002678625,0.0001023459,0.0001518585,0.000008769167,0.0005255977,0.000148359,0.0002954931],"category_scores_gemma":[0.00005398301,0.0001873408,0.0001019592,0.0001162629,0.000302572,0.000003472123,0.0002755063,0.0001337229,0.00001913505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003003041,"about_ca_system_score_gemma":0.0001429382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009408962,"about_ca_topic_score_gemma":0.00000258948,"domain_scores_codex":[0.998257,0.0004396027,0.0003491406,0.0004912634,0.0001073298,0.0003556337],"domain_scores_gemma":[0.999177,0.0000392605,0.0001981899,0.0004717348,0.00005798822,0.0000558566],"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":[0.0001363285,0.00007430025,0.0007253819,0.00001258976,0.00007220152,0.000008110002,0.00007223702,0.00186769,0.9945408,0.00008458446,0.0000788985,0.002326955],"study_design_scores_gemma":[0.0003148909,0.001691525,0.00008938384,0.00001824551,0.00006392319,0.000277246,0.0002356015,0.0003694773,0.9932896,0.0007216866,0.002589901,0.0003384846],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955568,0.0006256276,0.002822508,0.0001782518,0.0003074425,0.0002615209,0.00005210301,0.00001257348,0.0001831289],"genre_scores_gemma":[0.9983066,0.00006602835,0.001047415,0.0001057692,0.00005318462,0.000052712,0.0000530664,0.00002476544,0.0002904487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002749766,"threshold_uncertainty_score":0.7639537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03120124512877322,"score_gpt":0.2625283877328736,"score_spread":0.2313271426041004,"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."}}