{"id":"W2345984910","doi":"10.1038/cgt.2016.18","title":"Breast cancer gene therapy using an adenovirus encoding human IL-2 under control of mammaglobin promoter/enhancer sequences","year":2016,"lang":"en","type":"article","venue":"Cancer Gene Therapy","topic":"Virus-based gene therapy research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University of Alberta","funders":"Breast Cancer Alliance","keywords":"Telomerase reverse transcriptase; Enhancer; Mammaglobin; Viral vector; Genetic enhancement; Luciferase; Biology; Vector (molecular biology); Promoter; Cancer research; Molecular biology; Reporter gene; Gene; Telomerase; Cancer; Transfection; Breast cancer; Recombinant DNA; Gene expression; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000513746,0.0004975078,0.0005134518,0.0001433208,0.0002516304,0.00005442642,0.0007840079,0.0002855843,0.00106976],"category_scores_gemma":[0.000003978164,0.0003620924,0.0002166826,0.0002631466,0.0004663401,0.00004051856,0.00006478428,0.0001525894,0.000005961016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002500544,"about_ca_system_score_gemma":0.0007942338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007393957,"about_ca_topic_score_gemma":0.0006317519,"domain_scores_codex":[0.9968746,0.0003684493,0.0005213144,0.0009249283,0.0004937144,0.0008169524],"domain_scores_gemma":[0.9980749,0.00002094238,0.0003275675,0.000919394,0.0004159285,0.0002412202],"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":[0.003734045,0.0001752239,0.002068094,0.00001180674,0.0004692253,0.000003456654,0.0001409764,0.000535334,0.9137476,0.000009326836,0.00004602081,0.0790589],"study_design_scores_gemma":[0.004713375,0.002041607,0.001903416,0.00007001993,0.00002228313,0.00002237802,0.00003637246,0.00004991212,0.9896106,0.0001894888,0.0007995961,0.0005409523],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763604,0.01927771,0.001939813,0.0005678684,0.0002781758,0.0007965746,0.0007083407,0.00003953992,0.0000315344],"genre_scores_gemma":[0.9723672,0.02482631,0.0001368021,0.0006788908,0.001269785,0.0002867882,0.00002962252,0.0001323496,0.0002722068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07851795,"threshold_uncertainty_score":0.9998831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05321092735661783,"score_gpt":0.3544590337669619,"score_spread":0.3012481064103441,"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."}}