{"id":"W2606520280","doi":"10.1093/gbe/evx068","title":"The Relationship between Selection, Network Connectivity, and Regulatory Variation within a Population of Capsella grandiflora","year":2017,"lang":"en","type":"article","venue":"Genome Biology and Evolution","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Canada; National Science Foundation","keywords":"Biology; Gene; Selection (genetic algorithm); Genetics; Evolutionary biology; Negative selection; Genetic variation; Natural selection; Population; Variation (astronomy); Gene regulatory network; Computational biology; Gene expression; Genome","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004833793,0.00006652872,0.00008845459,0.000015326,0.001101586,0.00002506418,0.0000640785,0.0001523346,8.382866e-7],"category_scores_gemma":[0.0001813553,0.00005360119,0.00001955277,0.00002172218,0.000152071,0.00000581289,0.00006041093,0.00005042349,5.455823e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006702264,"about_ca_system_score_gemma":0.00001735208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001924971,"about_ca_topic_score_gemma":0.0001013482,"domain_scores_codex":[0.9994799,0.00008500367,0.000127663,0.0001659206,0.00003273439,0.0001087133],"domain_scores_gemma":[0.9995537,0.00004918308,0.0001858618,0.0001375397,0.00004388221,0.00002979109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004278235,0.000003617419,0.97769,0.000007899406,0.00002470247,2.678574e-8,0.00004239156,0.00004351639,0.01244449,0.009504594,0.00004384046,0.0001521241],"study_design_scores_gemma":[0.0002209731,0.0001210963,0.9833422,0.000006023983,0.00002523691,0.000004373307,0.00001975158,0.00005240395,0.00009043897,0.01576387,0.0002874285,0.00006616148],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973347,0.0008285606,0.001410525,0.0001136471,0.0001141981,0.00008599416,0.00001572358,0.000004749811,0.00009190279],"genre_scores_gemma":[0.9993864,0.00009337797,0.000126918,0.00000805174,0.0001911468,0.000002393055,0.00007041531,0.000002768247,0.0001184991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01235405,"threshold_uncertainty_score":0.8472618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01887818815389536,"score_gpt":0.247050830536035,"score_spread":0.2281726423821396,"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."}}