{"id":"W2809684487","doi":"10.3389/fpls.2018.00987","title":"Genome Scans Reveal Homogenization and Local Adaptations in Populations of the Soybean Cyst Nematode","year":2018,"lang":"en","type":"article","venue":"Frontiers in Plant Science","topic":"Nematode management and characterization studies","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Université de Montréal","funders":"Agriculture and Agri-Food Canada; Government of Canada; Canadian Field Crop Research Alliance; Genome Canada; Syngenta Canada; Saskatchewan Pulse Growers; Grain Farmers of Ontario; Génome Québec","keywords":"Soybean cyst nematode; Biology; Local adaptation; Fixation index; Evolutionary biology; Genetics; Genetic variation; Reproductive isolation; Genome; Genetic structure; Ecology; Population; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002146371,0.00005478863,0.00009036978,0.00005098831,0.0002673283,0.00002863755,0.0002068097,0.0000187115,0.000007648538],"category_scores_gemma":[0.00002921269,0.00002271103,0.00001245868,0.001138063,0.0005086125,0.0001744645,0.00009362376,0.00003432674,9.708351e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002239201,"about_ca_system_score_gemma":0.000009980256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009855364,"about_ca_topic_score_gemma":0.001828712,"domain_scores_codex":[0.9993274,0.00002525316,0.0001726436,0.0001638396,0.0001717119,0.0001392102],"domain_scores_gemma":[0.9998066,0.0000133811,0.00007228438,0.00004311446,0.00004182266,0.00002282225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000131839,0.00004625048,0.9407408,0.000008535529,0.000003153941,0.000001265067,0.001233207,0.0001472035,0.04900735,0.003410464,0.0003749077,0.005013727],"study_design_scores_gemma":[0.00005973348,0.0000172819,0.9938282,0.0000226096,0.000002846654,0.000001563355,0.001357494,0.003431912,0.0002328089,0.0007049661,0.0002835937,0.00005693172],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969581,0.00004270392,0.001448985,0.0005000866,0.0002348567,0.0001606237,0.00004715409,0.000008446841,0.0005990788],"genre_scores_gemma":[0.9994246,0.00001986696,0.0003660337,0.00005428127,0.00002539235,0.000005596065,0.00002020167,3.632822e-7,0.00008361977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05308751,"threshold_uncertainty_score":0.2056101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02041920541938559,"score_gpt":0.2152141251884157,"score_spread":0.1947949197690301,"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."}}