{"id":"W2156265802","doi":"10.1093/molbev/msv073","title":"No Evidence that MicroRNAs Coevolve with Genes Located in Copy Number Regions","year":2015,"lang":"en","type":"article","venue":"Molecular Biology and Evolution","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences","keywords":"Biology; Copy-number variation; microRNA; Gene; Genetics; Gene regulatory network; Zebrafish; Computational biology; Robustness (evolution); Gene dosage; Untranslated region; Genome; RNA; Gene expression","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":[0.0009493994,0.0002375293,0.0004906473,0.001018695,0.0005283399,0.0009022958,0.0005943088,0.0006221273,0.002699526],"category_scores_gemma":[0.004305714,0.000248762,0.0005419209,0.0008873842,0.0009730787,0.0005898403,0.001007521,0.00071028,0.0004607956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002230058,"about_ca_system_score_gemma":0.0002226147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006273576,"about_ca_topic_score_gemma":0.001334233,"domain_scores_codex":[0.9982042,0.0002002776,0.0001155107,0.0009516182,0.0004053656,0.000122871],"domain_scores_gemma":[0.9944943,0.002966278,0.0009035688,0.0008619237,0.0003719027,0.0004019769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0009394957,0.00007135629,0.2886474,0.0002439273,0.0008870747,0.0009233032,0.0004322896,0.0006195171,0.6780743,0.00214745,0.0003623362,0.0266515],"study_design_scores_gemma":[0.00004993644,0.0008040271,0.8629282,0.00004293401,0.0006734332,0.008013063,0.0003730126,0.007041408,0.1087987,0.003380199,0.007816504,0.00007872507],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920218,0.001126436,0.003797015,0.00009609997,0.0000331124,0.000008336083,0.0002480715,0.0000513691,0.002617628],"genre_scores_gemma":[0.997381,0.0001848967,0.001309334,0.0001248523,0.00001372333,0.000009605765,0.0003296211,0.00004283876,0.0006041274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002699526,"threshold_uncertainty_score":0.009030819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01939793821169611,"score_gpt":0.2792273868886777,"score_spread":0.2598294486769815,"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."}}