{"id":"W2067174670","doi":"10.1038/gt.2010.149","title":"Improved antibiotic-free plasmid vector design by incorporation of transient expression enhancers","year":2010,"lang":"en","type":"article","venue":"Gene Therapy","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health; National Institute of General Medical Sciences; Concordia University of Edmonton; Leukemia and Lymphoma Society","keywords":"Biology; Transgene; Enhancer; Electroporation; Plasmid; Insertional mutagenesis; Molecular biology; Expression cassette; Expression vector; Genetic enhancement; Gene expression; Gene; Vector (molecular biology); Genetics; Recombinant DNA; Genome","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001232237,0.0001288443,0.0001193971,0.00002652194,0.0000391772,0.00001063547,0.0002460208,0.0001532888,0.00004071147],"category_scores_gemma":[0.00001313375,0.0001103944,0.00006640572,0.00004566097,0.00005780702,0.000005509036,0.00002502078,0.00007572434,0.00000321477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004434094,"about_ca_system_score_gemma":0.00005996252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002168034,"about_ca_topic_score_gemma":0.0000169631,"domain_scores_codex":[0.9992961,0.00004120465,0.0001789278,0.0002469923,0.00009199814,0.0001447807],"domain_scores_gemma":[0.9993573,0.000007024672,0.000102744,0.0004111202,0.00007406648,0.00004771116],"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":[0.0005742892,0.00007375204,0.00007146674,0.000003694824,0.0000267595,2.749965e-7,0.00006878487,0.00002542745,0.9904037,0.000001701366,0.004434783,0.004315375],"study_design_scores_gemma":[0.0007830616,0.0008811678,0.0002690868,0.000006069394,0.000004229721,0.000001811799,0.00001585183,0.0001077584,0.9962497,0.00002897361,0.001520211,0.0001320739],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975548,0.000474621,0.02327863,0.00006379434,0.000317175,0.0002088805,0.00003515774,0.000009223756,0.00006456317],"genre_scores_gemma":[0.9949456,0.0006897697,0.003839314,0.0001360767,0.0001312336,0.000009608862,0.00009849153,0.00001732462,0.0001325323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01943931,"threshold_uncertainty_score":0.4501754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01026448756898997,"score_gpt":0.2300116423185731,"score_spread":0.2197471547495831,"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."}}