{"id":"W2048224470","doi":"10.1023/b:trag.0000034619.21613.d0","title":"Recombinant Protein Expression Plasmids Optimized for Industrial E. coli Fermentation and Plant Systems Produce Biologically Active Human Insulin-like Growth Factor-1 in Transgenic Rice and Tobacco Plants","year":2004,"lang":"en","type":"article","venue":"Transgenic Research","topic":"Transgenic Plants and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"Steacie Institute for Molecular Sciences; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Genentech; U.S. Department of Agriculture","keywords":"Biology; Transgene; Coding region; Recombinant DNA; Signal peptide; Genetically modified rice; Genetically modified crops; Gene; Codon usage bias; Plasmid; Expression vector; Genetics","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":[0.0005526087,0.001061559,0.0007630112,0.0006799022,0.0002810741,0.0006942043,0.0005198521,0.0005368185,0.001171867],"category_scores_gemma":[0.0007994415,0.0005300855,0.0005648187,0.001681703,0.0003708719,0.0004129294,0.0003201243,0.001389097,0.001311079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007019379,"about_ca_system_score_gemma":0.000579388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001104622,"about_ca_topic_score_gemma":0.00154152,"domain_scores_codex":[0.9996091,0.00006735383,0.00005076798,0.00006394135,0.0001398024,0.00006913425],"domain_scores_gemma":[0.9995425,0.0001280726,0.0001262876,0.00007300822,0.00007915246,0.00005104014],"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":[0.0001087409,0.0000560356,0.0002192352,0.00008638089,0.00001015269,0.00003407536,0.00001893879,0.0001914878,0.9958913,0.0002185517,0.0001370792,0.003027878],"study_design_scores_gemma":[0.00002116476,0.00006137411,0.001006705,0.000006554836,0.00003047065,0.0001247274,0.00001283997,0.0006717303,0.9939711,0.00009758404,0.003986555,0.000009202371],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8019408,0.002190097,0.1804807,0.0006634068,0.0003104504,0.0008332849,0.006703505,0.002330453,0.004547271],"genre_scores_gemma":[0.7105232,0.003374516,0.2408299,0.0002335023,0.00006853016,0.0005367442,0.02982251,0.001306884,0.01330422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001171867,"threshold_uncertainty_score":0.005092919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1054411428806605,"score_gpt":0.3479073179453033,"score_spread":0.2424661750646427,"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."}}