{"id":"W3011957110","doi":"10.1016/j.celrep.2020.02.048","title":"Genomic Repeats Categorize Genes with Distinct Functions for Orchestrated Regulation","year":2020,"lang":"en","type":"article","venue":"Cell Reports","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":172,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"National Key Research and Development Program of China; National Institute of General Medical Sciences; Medical Research Council; National Institutes of Health; Tsinghua University; Center for Life Sciences; University of Toronto; National Natural Science Foundation of China; UK Research and Innovation","keywords":"Biology; Gene; Genetics; Genome; Gene silencing; Regulation of gene expression; Computational biology","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":[0.0001544701,0.000311052,0.0002804087,0.001078366,0.0002666464,0.0007916281,0.0003568461,0.0005095811,0.001619059],"category_scores_gemma":[0.000257775,0.00009050036,0.0002290586,0.0007866526,0.0006060381,0.0005038857,0.0003730136,0.0003912711,0.0007780104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003179698,"about_ca_system_score_gemma":0.0002203636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002936513,"about_ca_topic_score_gemma":0.0005281196,"domain_scores_codex":[0.9998083,0.00003034372,0.00001808317,0.00006382755,0.00004401125,0.00003545941],"domain_scores_gemma":[0.9998068,0.00004149499,0.00007443379,0.00002606192,0.00002225292,0.00002885942],"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":[0.000469808,0.00004816292,0.02171294,0.0003160842,0.0001277474,0.0006715203,0.0005012341,0.0008063667,0.8907338,0.01592279,0.0007900503,0.06789959],"study_design_scores_gemma":[0.0001361318,0.001418288,0.3272151,0.0005077688,0.0006145805,0.01379224,0.00300863,0.008181961,0.4064164,0.06542361,0.1730558,0.0002295492],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9337187,0.01766149,0.02846018,0.0004538755,0.0001057673,0.0001243876,0.00279206,0.0009535884,0.01572989],"genre_scores_gemma":[0.9692984,0.002465799,0.0211129,0.00021134,0.0000657709,0.00007188609,0.002494785,0.00009458255,0.004184574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001619059,"threshold_uncertainty_score":0.005416334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02016885232201882,"score_gpt":0.2426902220134007,"score_spread":0.2225213696913819,"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."}}