{"id":"W1948368564","doi":"10.1139/cjb-2013-0029","title":"Genetic diversity and population structure of<i>Vigna exilis</i>and<i>Vigna grandiflora</i>(Phaseoleae, Fabaceae) from Thailand based on microsatellite variation","year":2013,"lang":"en","type":"article","venue":"Botany","topic":"Agricultural pest management studies","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vigna; Biology; Genetic diversity; Botany; Fabaceae; Genetic variation; Analysis of molecular variance; Population; Genetic structure; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004045094,0.0001722965,0.0001949598,0.00001232977,0.0004720931,0.00005575012,0.0001033129,0.00008033492,0.0001515007],"category_scores_gemma":[0.00001685566,0.00006764613,0.00004129837,0.000144121,0.0000525956,0.0001566492,0.000204987,0.00006577665,0.000007048819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001493816,"about_ca_system_score_gemma":8.646467e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004585461,"about_ca_topic_score_gemma":0.0006398428,"domain_scores_codex":[0.9990842,0.00005874683,0.0001741066,0.0003193614,0.0002005565,0.0001630391],"domain_scores_gemma":[0.9995801,0.0001206025,0.0001290127,0.00005586717,0.00005215314,0.00006223756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005107209,0.00004970111,0.7159138,0.00001366028,0.00003413552,0.000001444816,0.0003301529,0.00002644049,0.269658,0.00003068467,0.0003158291,0.01357514],"study_design_scores_gemma":[0.0003005497,0.0001111255,0.9975319,0.00002186882,0.00004222795,4.311865e-7,0.00007133848,0.0002874409,0.0002321546,0.001017449,0.0002232457,0.0001603028],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986359,0.0003611129,0.00001666709,0.0003316663,0.00006256359,0.0003773431,0.0001109537,0.00003793175,0.0000657974],"genre_scores_gemma":[0.9992326,0.0001215624,0.0002495605,0.000196616,0.00007701306,0.000003759483,0.00005515386,0.000001031204,0.00006262893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2816181,"threshold_uncertainty_score":0.6931876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009325419301503058,"score_gpt":0.1751057802281978,"score_spread":0.1657803609266948,"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."}}