{"id":"W3016992863","doi":"10.1093/molbev/msaa102","title":"The Evolutionary Forces Shaping Cis- and Trans-Regulation of Gene Expression within a Population of Outcrossing Plants","year":2020,"lang":"en","type":"article","venue":"Molecular Biology and Evolution","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McGill University","funders":"","keywords":"Biology; Expression quantitative trait loci; Outcrossing; Genetics; Gene; Population; Quantitative trait locus; Selection (genetic algorithm); Genetic variation; Evolutionary biology; Allele; Balancing selection; Gene expression; Trait; Trans-acting; Single-nucleotide polymorphism; Genotype; Mutant; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006773585,0.0002478541,0.0002988823,0.000869756,0.0003917274,0.0006008467,0.0003908396,0.0003740316,0.0006241832],"category_scores_gemma":[0.0006441563,0.0002427822,0.0002100158,0.0004482784,0.0008154033,0.0004391623,0.000662139,0.0005825334,0.0001554182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004516706,"about_ca_system_score_gemma":0.0002526657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008501015,"about_ca_topic_score_gemma":0.002389524,"domain_scores_codex":[0.9996579,0.00006878132,0.00002389177,0.0001399594,0.00007115442,0.00003843731],"domain_scores_gemma":[0.9995618,0.0001489591,0.0001050256,0.00005789103,0.00007003018,0.00005626605],"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":[0.00004784355,0.00002397132,0.0349314,0.0000330945,0.0000454839,0.0002007542,0.0003594473,0.0004831571,0.9556862,0.0009138416,0.0000179542,0.007256864],"study_design_scores_gemma":[0.00001839595,0.0002251965,0.9190944,0.00002326941,0.0001289355,0.001428664,0.001066757,0.006088069,0.06779989,0.002333167,0.001716941,0.00007627819],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966068,0.0001869873,0.002489962,0.000034327,0.000002527372,0.000005831453,0.00003533168,0.0000161043,0.000622213],"genre_scores_gemma":[0.9985518,0.0001439256,0.0009618929,0.00003235799,0.000004386091,0.000006419748,0.00005932941,0.00001067183,0.0002292044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000869756,"threshold_uncertainty_score":0.003582299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01313106634438512,"score_gpt":0.2435101577606806,"score_spread":0.2303790914162955,"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."}}