{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005056831,0.0004412416,0.0003727603,0.000461345,0.0002042427,0.0008432812,0.0005822235,0.0007021768,0.0008407375],"category_scores_gemma":[0.0003352757,0.0003391752,0.0003619054,0.0003783518,0.0004142251,0.0004599927,0.000270087,0.001482979,0.0007963535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006317574,"about_ca_system_score_gemma":0.0005275825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004573166,"about_ca_topic_score_gemma":0.0008401945,"domain_scores_codex":[0.9994988,0.00008614328,0.0000546603,0.00005859678,0.0002524926,0.00004927356],"domain_scores_gemma":[0.9998535,0.00002604927,0.00005312328,0.00002069739,0.00002774327,0.00001875339],"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":[0.00005700622,0.00004626368,0.00008733758,0.0002431548,0.00001749876,0.00008609801,0.00005836243,0.0007104739,0.9779986,0.005649023,0.0003411698,0.01470499],"study_design_scores_gemma":[0.00006075014,0.0005209342,0.0005643665,0.00006588344,0.0000496193,0.0006217837,0.00002847218,0.004303806,0.9153827,0.001405753,0.07696099,0.00003484744],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2946253,0.03501795,0.6516834,0.001090833,0.001296241,0.001171828,0.002882905,0.001726972,0.01050452],"genre_scores_gemma":[0.5897595,0.02623514,0.3506183,0.000455063,0.0002041507,0.001107811,0.006265671,0.0002870288,0.02506741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008432812,"threshold_uncertainty_score":0.004583776,"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."}}