{"id":"W2895139196","doi":"10.1016/j.chembiol.2018.09.006","title":"Decoding Transcriptome Dynamics of Genome-Encoded Polyadenylation and Autoregulation with Small-Molecule Modulators of Alternative Polyadenylation","year":2018,"lang":"en","type":"article","venue":"Cell chemical biology","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"","keywords":"Polyadenylation; Transcriptome; Biology; Gene; Computational biology; Genetics; RNA; RNA-binding protein; Intron; Gene expression; 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":[0.0001869955,0.0001629145,0.0003002506,0.00008802758,0.0001531389,0.0008358124,0.0001729925,0.0002140685,0.001331279],"category_scores_gemma":[0.0005615296,0.0001971418,0.0001944151,0.0001488748,0.0001948334,0.0005107377,0.0002373461,0.0006295888,0.0003922515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004400868,"about_ca_system_score_gemma":0.0002981022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000369894,"about_ca_topic_score_gemma":0.001098591,"domain_scores_codex":[0.9998965,0.00001214719,0.000005915481,0.00003513456,0.00002917314,0.00002100473],"domain_scores_gemma":[0.9997492,0.0001002522,0.00004836066,0.00002551039,0.0000430106,0.00003356612],"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":[0.0001567576,0.00001259669,0.0005138804,0.00002788502,0.000004887921,0.00002043026,0.00002157339,0.000596753,0.9944984,0.001054903,0.00007954931,0.003012387],"study_design_scores_gemma":[0.00001532603,0.00007158934,0.003002799,0.00000631718,0.00001388937,0.00002663632,0.00003940714,0.02062053,0.9742941,0.000436279,0.001463285,0.000009724387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978967,0.00086708,0.01721113,0.0002314313,0.0001151577,0.00001616162,0.0003764892,0.0002475531,0.001967971],"genre_scores_gemma":[0.9945866,0.0004396623,0.00348603,0.00004692823,0.0000183523,0.00001451213,0.0003004585,0.00008017544,0.001027265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001331279,"threshold_uncertainty_score":0.00445354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0109197237576822,"score_gpt":0.2460050947310755,"score_spread":0.2350853709733933,"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."}}