{"id":"W2043663958","doi":"10.1111/ppa.12373","title":"Genetic analysis of the population structure of the rice false smut fungus, <i>Villosiclava virens</i> , in China using microsatellite markers mined from a genome assembly","year":2015,"lang":"en","type":"article","venue":"Plant Pathology","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Program for Changjiang Scholars and Innovative Research Team in University; Fundamental Research Funds for the Central Universities; Special Fund for Agro-scientific Research in the Public Interest","keywords":"Biology; Genetic diversity; Microsatellite; Genetics; Haplotype; Population; Mantel test; Genetic variation; Analysis of molecular variance; Genetic marker; Genotype; Gene; Allele","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001701764,0.0001415842,0.0002752496,0.0001066911,0.00003788679,0.000008011785,0.0003848524,0.000193265,0.000005505994],"category_scores_gemma":[0.00006801085,0.000091922,0.0001229001,0.0004538404,0.0001120225,0.000002369982,0.000259731,0.0001276506,4.021385e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002376853,"about_ca_system_score_gemma":0.00007500998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008315744,"about_ca_topic_score_gemma":0.001521281,"domain_scores_codex":[0.998576,0.0003599551,0.0003303565,0.0003030095,0.0002058078,0.0002248523],"domain_scores_gemma":[0.9991539,0.00002107014,0.0002050419,0.0004988756,0.00007045472,0.00005071231],"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":[0.0001293275,0.00002722683,0.2202142,0.00001025867,0.000109159,0.000004364713,0.0001424933,0.003487201,0.7758059,0.000002234422,0.000008594425,0.00005903577],"study_design_scores_gemma":[0.0002752235,0.00005060154,0.7344847,0.000008395741,0.0001311987,0.00001845483,0.00003431977,0.0008325063,0.2639292,0.00006587894,0.00008210965,0.00008740174],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968644,0.001498032,0.00006588489,0.00005064099,0.0001341015,0.000187628,0.00117098,0.00000183595,0.00002654146],"genre_scores_gemma":[0.9988,0.00006126387,0.0006757468,0.0000509448,0.00004584799,0.000002119393,0.000328631,0.00001221082,0.00002318072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5142705,"threshold_uncertainty_score":0.374847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242607716227586,"score_gpt":0.2436663292880132,"score_spread":0.2312402521257373,"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."}}