{"id":"W2299486509","doi":"10.1080/21541264.2016.1163451","title":"A single flexible RNAPII-CTD integrates many different transcriptional programs","year":2016,"lang":"en","type":"article","venue":"Transcription","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Child and Family Research Institute; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"CTD; Biology; Transcription (linguistics); Function (biology); Computational biology; Gene; Genetics; Cell biology; Evolutionary biology; Oceanography; Geology; Linguistics","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":[0.0006710588,0.000715693,0.0007631392,0.0004630763,0.0005195591,0.0009750619,0.0007243818,0.0006611544,0.001628132],"category_scores_gemma":[0.0006136087,0.0004435367,0.0008057012,0.0004099079,0.001027242,0.0006973781,0.001032576,0.001432029,0.001442414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007458413,"about_ca_system_score_gemma":0.0004313308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002871047,"about_ca_topic_score_gemma":0.0005268797,"domain_scores_codex":[0.9994835,0.00004932828,0.00003715414,0.0002077834,0.0001422521,0.00007990064],"domain_scores_gemma":[0.9993976,0.0001277211,0.00007615192,0.0001683547,0.00004703805,0.0001831256],"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":[0.0001179279,0.00001807191,0.0004570915,0.00003906167,0.000006979667,0.0001472852,0.00001976383,0.0003404093,0.9936817,0.0009295203,0.00007978548,0.004162397],"study_design_scores_gemma":[0.00002487936,0.0001991451,0.004323415,0.0000173681,0.0000237541,0.0007250403,0.00005141975,0.003045409,0.9842816,0.001157218,0.006103892,0.0000469004],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8804862,0.004919472,0.1003454,0.0004766211,0.0003619861,0.0001724107,0.001078116,0.001955984,0.01020366],"genre_scores_gemma":[0.9612129,0.001014826,0.03202408,0.0002516619,0.00006350096,0.0001004237,0.00127468,0.0002805987,0.003777284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001628132,"threshold_uncertainty_score":0.005446613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0297930778124376,"score_gpt":0.2597697656151259,"score_spread":0.2299766878026883,"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."}}