{"id":"W4391932941","doi":"10.1002/bit.28665","title":"An optimized polymeric delivery system for <i>piggyBac</i> transposition","year":2024,"lang":"en","type":"article","venue":"Biotechnology and Bioengineering","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Mitacs; Bill and Melinda Gates Foundation","keywords":"Transposase; Gene delivery; Green fluorescent protein; Transfection; Molecular biology; Transgene; Transduction (biophysics); Polyethylenimine; Biology; Cell biology; Plasmid; Viral vector; Transposition (logic); Gene; Transposable element; Chemistry; Biochemistry; Genome; Recombinant DNA","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":[0.00006601267,0.0001328583,0.000111021,0.0001051382,0.00005554466,0.00003166087,0.0001056832,0.000332939,0.000001600435],"category_scores_gemma":[0.000002541861,0.0001236293,0.00006088227,0.00008368131,0.00005089496,0.00000843949,0.00001841581,0.00007525246,0.000002898675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009242152,"about_ca_system_score_gemma":0.00001585276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005437827,"about_ca_topic_score_gemma":0.000001736052,"domain_scores_codex":[0.9993494,0.000007983454,0.0001195508,0.0003109975,0.00002929654,0.0001827604],"domain_scores_gemma":[0.9997627,0.000006381273,0.0000126003,0.0001620487,0.0000169196,0.00003938395],"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":[0.00006887939,0.000009092986,0.00001078939,0.0001170947,0.00006854075,0.000005930875,0.00001394029,0.0001951915,0.9875868,0.0005885555,0.00005912444,0.01127609],"study_design_scores_gemma":[0.0002462941,0.0005357495,0.00003460132,0.00007237867,0.0000464746,0.00008741522,0.000105284,0.01438906,0.9801275,0.000007426912,0.004161077,0.0001867461],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8592466,0.009376138,0.130304,0.0002656692,0.0003407287,0.0001545101,0.00005378807,0.0002372457,0.00002135665],"genre_scores_gemma":[0.9960503,0.000773917,0.002779509,0.00004711848,0.0001448893,0.00004250833,0.000100402,0.00002013802,0.00004120833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1368038,"threshold_uncertainty_score":0.5041454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005084649173857771,"score_gpt":0.2136873528623832,"score_spread":0.2086027036885254,"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."}}