{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002996426,0.0002124084,0.0001809803,0.0008119479,0.0003570557,0.0003519457,0.0002435419,0.0002210099,0.000507041],"category_scores_gemma":[0.0009380119,0.0001694348,0.0001473119,0.0004311964,0.000497141,0.0002795684,0.0004154811,0.0003080454,0.00004136537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000451633,"about_ca_system_score_gemma":0.0001701813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00325343,"about_ca_topic_score_gemma":0.007587004,"domain_scores_codex":[0.99984,0.00003824604,0.000009652589,0.00007063335,0.00002204118,0.00001940544],"domain_scores_gemma":[0.9992684,0.0002879832,0.0002058901,0.00006046954,0.00007467504,0.0001027086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002964868,0.00009991349,0.5915819,0.00007118886,0.0004243714,0.0003607895,0.0009181702,0.004854821,0.3899755,0.001078334,0.0001269573,0.01021154],"study_design_scores_gemma":[0.000008442995,0.00005714149,0.9917746,0.000002621891,0.00004389069,0.000182035,0.0001381659,0.005647593,0.001627965,0.0003478261,0.000154305,0.00001538379],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999688,0.00002210593,0.0001685527,0.000006610479,3.290951e-7,0.000001087117,0.00002377707,0.000003784916,0.00008570377],"genre_scores_gemma":[0.9997181,0.00001431069,0.0001585474,0.000003534954,8.973e-7,0.000003436181,0.00005660145,0.000002031933,0.00004246237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00325343,"threshold_uncertainty_score":0.006469011,"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."}}