{"id":"W2083560764","doi":"10.4161/bbug.1.2.11102","title":"Bioengineered viral vectors for targeting and killing prostate cancer cells","year":2010,"lang":"en","type":"article","venue":"Bioengineered Bugs","topic":"Virus-based gene therapy research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Terry Fox Foundation","keywords":"Prostate cancer; Cancer research; Gene knockdown; Biology; RNA interference; Viral vector; Genetic enhancement; Cancer; Cancer cell; Small interfering RNA; Transduction (biophysics); Transfection; Cell culture; Gene; RNA; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002715185,0.0002474233,0.0001793085,0.00009467656,0.0001048229,0.00005168646,0.0001948297,0.0002003031,0.00002857346],"category_scores_gemma":[0.00006350706,0.000236394,0.00009095045,0.0001112857,0.00008307547,0.000007011119,0.0000666771,0.0001979033,0.000004724502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001415839,"about_ca_system_score_gemma":0.00008754496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002992498,"about_ca_topic_score_gemma":0.00004419112,"domain_scores_codex":[0.9986699,0.00001872883,0.0002127513,0.0004391749,0.0001394023,0.0005201097],"domain_scores_gemma":[0.9993499,0.00002457719,0.00004837912,0.0002810718,0.0001253976,0.0001706762],"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":[0.0003954842,0.00002391412,0.0002485854,0.00005485189,0.00006344354,0.000001096519,0.00005579896,0.0004021636,0.9943881,0.00001789866,0.002170566,0.002178112],"study_design_scores_gemma":[0.0008739391,0.0006983505,0.000097364,0.00001073074,0.0000153563,0.000002313059,0.00002830104,0.003670037,0.9699373,0.00001967809,0.02432795,0.0003186739],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953099,0.002141315,0.0008478839,0.0002815015,0.0006075609,0.0005553031,0.0001897537,0.0000518781,0.00001491277],"genre_scores_gemma":[0.9948459,0.0004764857,0.003060063,0.00009413474,0.0007111034,0.0001762352,0.0001726035,0.00008178938,0.0003816871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02445078,"threshold_uncertainty_score":0.9639867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008088202561435437,"score_gpt":0.2658259842529657,"score_spread":0.2577377816915302,"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."}}