{"id":"W2943659839","doi":"10.5539/jas.v11n6p363","title":"Genetic Divergence Among Safflower Genotypes (Carthamus tinctorius L.) by Multivariate Analyzes","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação de Amparo à Pesquisa do Estado de Mato Grosso; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Carthamus; Genetic divergence; Multivariate statistics; Germplasm; Adaptability; Biology; UPGMA; Divergence (linguistics); Cultivar; Biotechnology; Horticulture; Genotype; Genetic diversity; Mathematics; Statistics; Genetics; Ecology; Traditional medicine; 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":[0.0004906264,0.0001778787,0.0002443272,0.00002887987,0.0002780689,0.0002121178,0.0008341118,0.00007172637,0.0005435827],"category_scores_gemma":[0.00006541355,0.00005529946,0.0001432833,0.0007509335,0.0001418627,0.0004587931,0.0001323456,0.000191389,0.00006740644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005136627,"about_ca_system_score_gemma":0.00002254023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003355909,"about_ca_topic_score_gemma":0.0001261942,"domain_scores_codex":[0.9980175,0.00004085251,0.0004084885,0.0002880299,0.0008083829,0.0004367827],"domain_scores_gemma":[0.9987667,0.0001050755,0.0004207609,0.00005508119,0.0003714151,0.0002809565],"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":[0.000008052888,0.00002695693,0.1512733,0.000001934142,0.000009611896,0.000004490053,0.00007402941,0.0001841396,0.8439107,0.000009723351,0.0008022101,0.003694888],"study_design_scores_gemma":[0.0001055842,0.0002958282,0.9859999,0.00002733862,0.00001696109,0.00006825516,0.0002310257,0.00007866709,0.01068751,0.00002506599,0.002268503,0.0001953508],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977762,0.0004165632,0.000003883913,0.0002476686,0.0009058122,0.0001184986,0.00002156478,0.00001278895,0.0004970062],"genre_scores_gemma":[0.9988193,0.0001128828,0.0003451431,0.00004354744,0.0003419927,7.073078e-7,0.000003686437,7.08993e-7,0.0003320238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8347266,"threshold_uncertainty_score":0.5951849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008594382015256608,"score_gpt":0.1870182179366011,"score_spread":0.1784238359213444,"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."}}