{"id":"W3121038326","doi":"10.1007/s10722-020-01071-7","title":"Genetic variation among Iranian Medicago polymorpha L. populations based on SSR markers","year":2021,"lang":"en","type":"article","venue":"Genetic Resources and Crop Evolution","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Biology; Genetic diversity; Mantel test; Genetic variation; Genetic distance; Isolation by distance; Genetic structure; Population; Genetic variability; Botany; Genetics; Genotype; Gene; Demography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002729735,0.0001797933,0.0001640335,0.001138066,0.0002089572,0.0002326482,0.0001995348,0.0001278196,0.0005871671],"category_scores_gemma":[0.0003106926,0.00008226557,0.0001744879,0.000895515,0.0001858226,0.0001293062,0.0001752317,0.0001688731,0.00006995284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000394762,"about_ca_system_score_gemma":0.0001462629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001900564,"about_ca_topic_score_gemma":0.004104885,"domain_scores_codex":[0.9998606,0.00002374813,0.00001148793,0.00006128075,0.0000260589,0.00001670848],"domain_scores_gemma":[0.9998367,0.00005019024,0.00005884994,0.0000108424,0.00002434743,0.00001908731],"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":[0.001615363,0.0002256304,0.2792681,0.0001349035,0.0003448974,0.0004662018,0.003275502,0.001298434,0.6342163,0.001278097,0.0002001535,0.07767631],"study_design_scores_gemma":[0.00003405771,0.0001866541,0.9918676,0.000007795868,0.00007290146,0.0002976515,0.0003645375,0.001053448,0.004994863,0.0002483376,0.0008589593,0.0000131866],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994462,0.00005030138,0.0001788723,0.000007694093,0.000001001097,0.000002786063,0.00007090851,0.000004054061,0.0002382646],"genre_scores_gemma":[0.9990004,0.00003763396,0.0004818355,0.000007447002,0.000002429593,0.000007083408,0.0002112515,0.00000269756,0.0002492277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001900564,"threshold_uncertainty_score":0.003778994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00767822081379007,"score_gpt":0.2075549416373899,"score_spread":0.1998767208235999,"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."}}