{"id":"W3009494867","doi":"10.3390/genes11030283","title":"Genetic Diversity, Population Structure and Linkage Disequilibrium Assessment among International Sunflower Breeding Collections","year":2020,"lang":"en","type":"article","venue":"Genes","topic":"Sunflower and Safflower Cultivation","field":"Agricultural and Biological Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agencia Nacional de Promoción Científica y Tecnológica; Biotechnology and Biological Sciences Research Council; Instituto Nacional de Tecnología Agropecuaria; Wellcome Trust; National Science Foundation","keywords":"Genetic diversity; Linkage disequilibrium; Germplasm; Biology; Analysis of molecular variance; Genotyping; Population; Microsatellite; Genetics; Biotechnology; Single-nucleotide polymorphism; Genotype; Allele; Agronomy; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001892383,0.0003581219,0.0004500909,0.002889188,0.0009054172,0.0007973987,0.0003902579,0.0002418426,0.001545803],"category_scores_gemma":[0.001348361,0.0001229893,0.0005159918,0.002642056,0.0003469915,0.0002822417,0.00061407,0.0003432455,0.0002025614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000675733,"about_ca_system_score_gemma":0.0005167464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004996326,"about_ca_topic_score_gemma":0.01015448,"domain_scores_codex":[0.9989827,0.0001742178,0.00007459932,0.0004919711,0.0001635065,0.0001129758],"domain_scores_gemma":[0.9993612,0.0001542289,0.0001924255,0.000118765,0.00009109357,0.00008227829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009649483,0.0003880858,0.7645538,0.000146235,0.0009072114,0.0003502116,0.003449314,0.003489949,0.08966001,0.00138423,0.0006380787,0.1340678],"study_design_scores_gemma":[0.00002375728,0.0001582919,0.9904308,0.00002824119,0.0001860901,0.0001889126,0.0002671078,0.002006036,0.003889337,0.0002340224,0.002568074,0.00001930396],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952947,0.0001568517,0.002638943,0.000009287412,0.00000355724,0.00002854767,0.0008207172,0.00002191006,0.001025386],"genre_scores_gemma":[0.9850794,0.0001370858,0.008931128,0.00001066511,0.000009359273,0.00006855418,0.005220756,0.00001869979,0.0005243422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004996326,"threshold_uncertainty_score":0.01000804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02030873844041341,"score_gpt":0.2211548726074978,"score_spread":0.2008461341670844,"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."}}