{"id":"W2166831851","doi":"10.1073/pnas.1501574112","title":"Ribosomal frameshifting and dual-target antiactivation restrict quorum-sensing–activated transfer of a mobile genetic element","year":2015,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Quorum sensing; Biology; Computational biology; Genetics; Mobile genetic elements; Population; Gene; Synthetic biology; Translational frameshift; Cell biology; Translation (biology); Plasmid; Messenger RNA; Virulence","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":[0.000163291,0.0005062502,0.0002085893,0.0001814972,0.0001089402,0.0001849831,0.0002628544,0.0002639689,0.001194925],"category_scores_gemma":[0.0001561904,0.0001440931,0.0003683785,0.00005903405,0.000265863,0.0001384633,0.000313082,0.0004028929,0.0004802549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003183581,"about_ca_system_score_gemma":0.0001764092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002884098,"about_ca_topic_score_gemma":0.0005853528,"domain_scores_codex":[0.9997666,0.00003391852,0.00001274265,0.00005966053,0.00008158346,0.00004536683],"domain_scores_gemma":[0.9998337,0.00002446835,0.00006453071,0.00002661118,0.0000133267,0.00003730831],"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":[0.0000391445,0.00001013866,0.0001764673,0.00001441168,0.000002254975,0.00003542199,0.000006174822,0.00002157962,0.9985182,0.00009556882,0.00001279593,0.001067845],"study_design_scores_gemma":[0.000009600371,0.0001478145,0.003562802,0.000003097068,0.000005201489,0.0002834913,0.00001329508,0.0006660316,0.9937239,0.00004337049,0.001536137,0.000005284837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864717,0.001279806,0.009687514,0.00007669749,0.0000316696,0.00005356922,0.0001196216,0.0001755372,0.002104049],"genre_scores_gemma":[0.9927684,0.0001953914,0.003922928,0.00004431592,0.00001091133,0.00002782539,0.0003314945,0.00002608687,0.002672596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001194925,"threshold_uncertainty_score":0.003997445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02901330748362745,"score_gpt":0.2777690679248814,"score_spread":0.2487557604412539,"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."}}