{"id":"W1964276428","doi":"10.1517/17460441.2011.555394","title":"Small interfering ribonucleic acid design strategies for effective targeting and gene silencing","year":2011,"lang":"en","type":"article","venue":"Expert Opinion on Drug Discovery","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; McGill University","funders":"","keywords":"Small interfering RNA; Gene silencing; RNA interference; Computational biology; Computer science; Biology; Gene; RNA; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008501756,0.0009492167,0.0007865828,0.0004402841,0.0002531609,0.0008062844,0.0006767242,0.0008477924,0.003044151],"category_scores_gemma":[0.0007955271,0.0004387435,0.000725183,0.0003937611,0.0004382083,0.0006364611,0.0004849855,0.001080322,0.002618937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006493933,"about_ca_system_score_gemma":0.0005181363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002505188,"about_ca_topic_score_gemma":0.0005290547,"domain_scores_codex":[0.9995715,0.00009681277,0.00004529953,0.00007503133,0.0001791134,0.00003223419],"domain_scores_gemma":[0.9997995,0.00007049429,0.00004932957,0.00001871104,0.00005023511,0.00001179482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001795613,0.0001042034,0.0003314207,0.003248182,0.0001099759,0.0003782445,0.0001596372,0.03936091,0.7137833,0.05827409,0.004495515,0.179575],"study_design_scores_gemma":[0.0001733996,0.001376088,0.0004588445,0.0004133836,0.000233348,0.001284929,0.00007236104,0.1197788,0.5968549,0.03581527,0.2434135,0.0001251438],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.0296602,0.03657592,0.9105912,0.0009333633,0.000609158,0.0006241482,0.0005165111,0.001107563,0.01938201],"genre_scores_gemma":[0.2598729,0.04758278,0.6731914,0.001062909,0.0001853837,0.00145185,0.001261366,0.0002495836,0.01514174],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003044151,"threshold_uncertainty_score":0.01018375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03955378461515262,"score_gpt":0.2666056667078847,"score_spread":0.227051882092732,"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."}}