{"id":"W1982443638","doi":"10.2217/imt.14.108","title":"Lentiviral Vectors in Cancer Immunotherapy","year":2015,"lang":"en","type":"article","venue":"Immunotherapy","topic":"Virus-based gene therapy research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Canada Research Chairs; University of Toronto","funders":"","keywords":"Immunotherapy; Viral vector; Cancer immunotherapy; Cancer; Insertional mutagenesis; Immune system; Genetic enhancement; Vector (molecular biology); Medicine; Computational biology; Gene delivery; Effector; Clinical trial; Biology; Immunology; Cancer research; Bioinformatics; Gene; Genome; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005229891,0.0002380659,0.0002194699,0.0001304046,0.00004185202,0.0000452613,0.0004396749,0.0001685458,0.00008384739],"category_scores_gemma":[0.00001806762,0.0002253501,0.0001181924,0.0002588246,0.0001183449,0.000010148,0.00004797213,0.0001864383,0.00003899561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001077826,"about_ca_system_score_gemma":0.0003326994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004746749,"about_ca_topic_score_gemma":0.0008578037,"domain_scores_codex":[0.9983702,0.0001914773,0.0002693621,0.0003957182,0.0002896921,0.0004834955],"domain_scores_gemma":[0.9991364,0.00001075977,0.00006870631,0.0005981961,0.0001006755,0.00008518809],"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":[0.005322959,0.0001817765,0.01021408,0.000003321854,0.000118958,0.00000578935,0.0003686644,0.0001922917,0.936711,0.00003088159,0.001378924,0.04547137],"study_design_scores_gemma":[0.008045159,0.004311217,0.007649384,0.00002873598,0.00000354988,0.00000907193,0.0001792921,0.0001148937,0.7592673,0.0003256907,0.2194367,0.0006290927],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777226,0.02046283,0.0001061454,0.0003860453,0.0003566857,0.000317609,0.00001092057,0.00004555274,0.0005916338],"genre_scores_gemma":[0.9925969,0.004183993,0.0001183547,0.0009257263,0.0002825055,0.0001586508,0.00003371474,0.0001243455,0.001575779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2180577,"threshold_uncertainty_score":0.9189512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03454148207282977,"score_gpt":0.3433136183843259,"score_spread":0.3087721363114962,"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."}}