{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000897657,0.0004611786,0.0004114766,0.0003777528,0.0002003188,0.0003846163,0.0005798247,0.0003687928,0.0008666476],"category_scores_gemma":[0.0009916028,0.0004196073,0.0004211112,0.0003833358,0.0003745224,0.0003609882,0.0005152551,0.001032579,0.0007391009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003648018,"about_ca_system_score_gemma":0.0005779424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001492846,"about_ca_topic_score_gemma":0.000377919,"domain_scores_codex":[0.9993554,0.0001328086,0.0001051823,0.0001646094,0.0001748702,0.00006707261],"domain_scores_gemma":[0.999329,0.0001358718,0.00021822,0.00006760919,0.0001465565,0.0001027417],"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":[0.00009036061,0.00002993757,0.0001789016,0.0001403247,0.000009986562,0.00005449648,0.00004215328,0.0008920067,0.9921997,0.001250417,0.00008953113,0.005022149],"study_design_scores_gemma":[0.00002461131,0.0002274073,0.0002628845,0.00001925601,0.00002105728,0.0001537279,0.00001714078,0.002614483,0.9875323,0.0003018156,0.00881503,0.00001026819],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4863338,0.002439202,0.5029697,0.0002896329,0.0001837754,0.001001125,0.001227102,0.001254642,0.004300877],"genre_scores_gemma":[0.5280368,0.003344277,0.4561718,0.0002658888,0.00005103597,0.001389641,0.003968377,0.0007136603,0.006058429],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.000897657,"threshold_uncertainty_score":0.004747331,"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."}}