{"id":"W1968606126","doi":"10.1016/j.cell.2008.03.003","title":"Transcription Termination: Pulling Out All the Stops","year":2008,"lang":"en","type":"letter","venue":"Cell","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Biology; Transcription (linguistics); Genetics; Computational biology; Cell biology","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":[0.002916497,0.001601121,0.001959542,0.0006322351,0.002142463,0.003282648,0.001693964,0.0196,0.003144735],"category_scores_gemma":[0.007416376,0.001038544,0.001509886,0.0004552178,0.004210585,0.003728821,0.001403525,0.02508585,0.004413307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002174851,"about_ca_system_score_gemma":0.0009264982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00059664,"about_ca_topic_score_gemma":0.0009033887,"domain_scores_codex":[0.9983984,0.0003053735,0.0002146826,0.0003602186,0.0004901435,0.0002312172],"domain_scores_gemma":[0.9963965,0.001993657,0.0003755604,0.0003191595,0.0003974456,0.0005176461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002062998,0.000211261,0.00163838,0.0007954824,0.0001590795,0.01008472,0.0004880666,0.0006933175,0.04447876,0.05476423,0.8055441,0.0790797],"study_design_scores_gemma":[0.0009857679,0.0004438597,0.001282049,0.0002708802,0.0001715403,0.01280439,0.0004439375,0.0029508,0.04830563,0.07402666,0.8581675,0.0001470349],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00779821,0.03162387,0.0130198,0.8041327,0.1353661,0.00008213514,0.0001679228,0.0004332952,0.00737593],"genre_scores_gemma":[0.05457697,0.0268148,0.01410072,0.7263237,0.1412696,0.0002518967,0.0002992346,0.0002895302,0.03607374],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0196,"threshold_uncertainty_score":0.01577973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02329934570170855,"score_gpt":0.2297736390628806,"score_spread":0.2064742933611721,"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."}}