{"id":"W2464665098","doi":"10.1007/978-1-4939-3753-0_1","title":"Construction of Modular Lentiviral Vectors for Effective Gene Expression and Knockdown","year":2016,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Gene knockdown; RNA interference; Biology; Small hairpin RNA; Gene silencing; Computational biology; Gene expression; Gene; Viral vector; Genetics; RNA; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009535326,0.000827775,0.0006207793,0.0009736542,0.0006274933,0.0008390373,0.0009584808,0.0006684612,0.003130763],"category_scores_gemma":[0.0006233289,0.000707372,0.0006567442,0.000740051,0.0004949994,0.0005911218,0.0006427149,0.00194867,0.002388373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000722543,"about_ca_system_score_gemma":0.0008837896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006987276,"about_ca_topic_score_gemma":0.001369125,"domain_scores_codex":[0.9993753,0.00005731834,0.00007455309,0.0000948988,0.0002833749,0.0001145476],"domain_scores_gemma":[0.9996257,0.00006382465,0.0000847097,0.00007235709,0.00006949713,0.00008391609],"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":[0.0001355795,0.00009709188,0.0002793214,0.000141308,0.00002586504,0.0001043543,0.00008708025,0.000357139,0.9837776,0.003587624,0.0009622516,0.01044471],"study_design_scores_gemma":[0.00007231095,0.0001352391,0.001215416,0.00002000214,0.00003890484,0.0002001501,0.00001898899,0.003068111,0.9726449,0.0004933737,0.02207137,0.00002122502],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4438843,0.002883753,0.5216604,0.0006054145,0.0004802427,0.002955022,0.0103685,0.006363661,0.01079858],"genre_scores_gemma":[0.6132529,0.002880158,0.3407546,0.0003092831,0.00009202697,0.00333222,0.01806134,0.001096248,0.02022117],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003130763,"threshold_uncertainty_score":0.01047343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01082473875890453,"score_gpt":0.3430747781382393,"score_spread":0.3322500393793347,"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."}}