{"id":"W2537596896","doi":"10.1111/evo.13095","title":"Intrapopulation genomics in a model mutualist: Population structure and candidate symbiosis genes under selection in <i>Medicago truncatula</i>","year":2016,"lang":"en","type":"article","venue":"Evolution","topic":"Legume Nitrogen Fixing Symbiosis","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Integrative Organismal Systems; University of Illinois at Urbana-Champaign; University of Toronto; University of Illinois System; National Science Foundation","keywords":"Biology; Medicago truncatula; Selection (genetic algorithm); Population genomics; Symbiosis; Genomics; Population; Evolutionary biology; Gene; Genetics; Genome","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004311463,0.0001413778,0.0001860949,0.000368839,0.0002440331,0.0003178141,0.0001954528,0.0001965652,0.0003450193],"category_scores_gemma":[0.0005133821,0.00007164467,0.0002439875,0.0003235741,0.0002238705,0.0001655599,0.0002375829,0.0001958104,0.00004035842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004053674,"about_ca_system_score_gemma":0.0001403338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001446204,"about_ca_topic_score_gemma":0.004113215,"domain_scores_codex":[0.9998708,0.00003621681,0.00000702024,0.00005780596,0.00001695527,0.00001120769],"domain_scores_gemma":[0.9998029,0.00008760845,0.00004930002,0.00002647607,0.00001302622,0.00002075267],"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":[0.0004076846,0.00007901066,0.2617829,0.00008299362,0.00023046,0.0002843501,0.0009096678,0.01007342,0.7020991,0.001911137,0.0001002437,0.02203899],"study_design_scores_gemma":[0.00003119416,0.000224073,0.916838,0.0000112459,0.0001276779,0.0003963636,0.0003735745,0.05365242,0.02482094,0.001810875,0.001689827,0.00002378091],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99848,0.00002414762,0.001366562,0.000008955143,2.77905e-7,0.000001301867,0.00004391177,0.00001038654,0.00006452895],"genre_scores_gemma":[0.9982094,0.00001774933,0.00156345,0.000008241259,5.373766e-7,0.000003301527,0.0001369877,0.000004387967,0.00005591159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001446204,"threshold_uncertainty_score":0.002941191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00852903318948596,"score_gpt":0.2023560655053393,"score_spread":0.1938270323158534,"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."}}