{"id":"W2134992738","doi":"10.1002/pro.518","title":"TEV protease‐facilitated stoichiometric delivery of multiple genes using a single expression vector","year":2010,"lang":"en","type":"article","venue":"Protein Science","topic":"Virus-based gene therapy research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Vector (molecular biology); Gene; Protease; Biology; Computational biology; Genetics; Virology; Enzyme; Biochemistry; 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":[0.0008632704,0.0001327852,0.0001236425,0.0003225454,0.0002096211,0.00003975774,0.0005966367,0.00009276087,0.00003620721],"category_scores_gemma":[0.000856353,0.0001159543,0.00005464301,0.001249116,0.0006645228,0.00001930245,0.0002656947,0.0001389903,0.000006642686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002394579,"about_ca_system_score_gemma":0.0004881006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007465491,"about_ca_topic_score_gemma":0.00004521173,"domain_scores_codex":[0.9983107,0.0000740911,0.0002052112,0.0004909085,0.0005336746,0.0003854222],"domain_scores_gemma":[0.9987724,0.00001753319,0.0001060249,0.0005567306,0.0004015464,0.000145747],"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":[0.0003716814,0.0001194396,0.001538955,0.00002235506,0.000004209488,0.00000104725,0.00003328559,0.00006075198,0.9898335,0.000001295153,0.000003235218,0.008010183],"study_design_scores_gemma":[0.0003650905,0.000976334,0.0004597371,0.00002085198,0.000001932044,0.000003820408,0.00002284154,0.001176235,0.9965184,0.00001335778,0.000297457,0.0001439168],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978457,0.0004916697,0.0006993942,0.00001773513,0.0000746004,0.000794268,0.00002034008,0.00001463351,0.00004163582],"genre_scores_gemma":[0.9903589,0.000006225428,0.009413373,0.00001046601,0.00006019829,0.0000646655,0.00000555182,0.00001464094,0.00006597538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008713979,"threshold_uncertainty_score":0.4728478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03648227817706554,"score_gpt":0.3073524448811215,"score_spread":0.2708701667040559,"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."}}