{"id":"W2094666260","doi":"10.1038/npre.2012.6876.1","title":"A quantitative model for efficient construction of lentiviral vectors with a unique clone site","year":2012,"lang":"en","type":"preprint","venue":"Nature Precedings","topic":"Virus-based gene therapy research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Insert (composites); Cloning (programming); Computational biology; clone (Java method); Mutagenesis; Biology; Transgene; Viral vector; Mutant; Recombinant DNA; Molecular biology; Gene; Genetics; Computer science; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004679358,0.0003136828,0.0003457324,0.0001407068,0.00006112031,0.00002288487,0.0002772109,0.001015709,0.00000532255],"category_scores_gemma":[0.0001165876,0.0002746612,0.0001896144,0.0001161093,0.0002261304,0.000004003753,0.0002914205,0.0008512171,9.488785e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005668166,"about_ca_system_score_gemma":0.0003101132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001307156,"about_ca_topic_score_gemma":0.00007239402,"domain_scores_codex":[0.9984286,0.00007451701,0.0002494165,0.0005777289,0.0003005335,0.0003692324],"domain_scores_gemma":[0.9985985,0.0000367423,0.0003052025,0.0004024053,0.0005657416,0.00009143353],"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":[0.01165768,0.0001337569,0.000506302,0.0003686831,0.0003617019,3.378774e-7,0.000706257,0.01252197,0.9720115,0.0007810422,0.000260448,0.0006902981],"study_design_scores_gemma":[0.001084334,0.002095136,0.00007419976,0.000179016,0.0001089983,0.000006603127,0.00007914818,0.03258584,0.9628016,0.0004115619,0.0001652276,0.0004082703],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9625015,0.002074055,0.03333163,0.0001023855,0.0002499104,0.001136642,0.000380142,0.00002113905,0.0002026392],"genre_scores_gemma":[0.9746889,0.0001312538,0.02408035,0.0000450012,0.0001651514,0.0001911708,0.0004976405,0.00006303786,0.0001374701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02006388,"threshold_uncertainty_score":0.9999706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01995800019339663,"score_gpt":0.3228978274428463,"score_spread":0.3029398272494497,"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."}}