{"id":"W1967752350","doi":"10.1016/j.tig.2007.04.003","title":"MicroRNA regulation and interspecific variation of gene expression","year":2007,"lang":"en","type":"article","venue":"Trends in Genetics","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; Biotechnology Research Institute","funders":"Vetenskapsrådet","keywords":"Biology; microRNA; Interspecific competition; Gene; Gene expression; Genetics; Regulation of gene expression; Variation (astronomy); Evolutionary biology; Genetic variation; Computational biology; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002029856,0.00008965133,0.00008447797,0.0001542898,0.00001773895,0.000006485906,0.00006803362,0.0001220558,0.00002344329],"category_scores_gemma":[0.00001504312,0.00009643529,0.00002946855,0.0001335491,0.00004768009,0.000002882247,0.00004503716,0.00003449763,7.341617e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001983054,"about_ca_system_score_gemma":0.00001068546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003676822,"about_ca_topic_score_gemma":0.00002210326,"domain_scores_codex":[0.9992864,0.00002915616,0.0002591505,0.0002135797,0.00008920236,0.0001225297],"domain_scores_gemma":[0.9995586,0.000007704168,0.0001147862,0.0002289156,0.00005037248,0.00003956773],"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":[0.00008555207,0.00003791999,0.004905548,0.00000889656,0.000006498917,5.61059e-7,0.0001498475,0.0001996465,0.9812709,0.00002808197,0.0001319942,0.01317456],"study_design_scores_gemma":[0.0002984304,0.00004467911,0.3697387,0.00001070247,0.000005862705,0.000003030807,0.00002006426,0.0001208816,0.6290459,0.00006540205,0.000579903,0.0000664299],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981711,0.001205187,0.01645042,0.00002122477,0.0000794817,0.00006053772,0.000007432399,0.000004770139,0.0004598998],"genre_scores_gemma":[0.9852756,0.00006752289,0.01426589,0.00001066492,0.00009698314,0.0000017835,0.0001292594,0.00001337214,0.0001389169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3648331,"threshold_uncertainty_score":0.3932517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01292149813339385,"score_gpt":0.2675706989207027,"score_spread":0.2546492007873088,"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."}}