{"id":"W2288122858","doi":"10.1007/978-1-61779-376-9_38","title":"Detection and Characterization of Transcription Termination","year":2011,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Cleavage factor; Cleavage and polyadenylation specificity factor; RNA polymerase II; Polyadenylation; Transcription (linguistics); Termination factor; Transcription factor II D; Biology; Molecular biology; Terminator (solar); Cell biology; RNA; Genetics; Gene expression; RNA polymerase; Gene; Promoter","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001180381,0.0007220677,0.0006909072,0.0009968295,0.0006047356,0.00105873,0.000791733,0.0009652468,0.001840475],"category_scores_gemma":[0.002055902,0.0006352657,0.0006162599,0.0005858322,0.0006665565,0.000579549,0.0005273739,0.001823175,0.00168285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00047838,"about_ca_system_score_gemma":0.000548662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004577307,"about_ca_topic_score_gemma":0.0006911726,"domain_scores_codex":[0.9990699,0.0001814247,0.00006503303,0.0002424788,0.0003011373,0.0001401431],"domain_scores_gemma":[0.9976802,0.001082929,0.0002488981,0.0003553348,0.0003805706,0.000252049],"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":[0.00005084162,0.00001308367,0.0002372695,0.00001485043,0.000002678448,0.00001236452,0.00001773707,0.00002256358,0.9984579,0.0001270187,0.00002629446,0.00101734],"study_design_scores_gemma":[0.000009612627,0.00006527777,0.001742258,0.000005246975,0.000009697162,0.00008763016,0.00001060857,0.0009914469,0.9957908,0.0001210823,0.001160971,0.000005267029],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7203189,0.00246982,0.2690732,0.0003703244,0.0001799625,0.0002199572,0.001393877,0.0008206927,0.005153191],"genre_scores_gemma":[0.8136395,0.001838467,0.158526,0.0004121714,0.0001326835,0.0005533338,0.009304708,0.0009372991,0.0146559],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001840475,"threshold_uncertainty_score":0.006242514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02671540518579301,"score_gpt":0.3575850389140827,"score_spread":0.3308696337282897,"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."}}