{"id":"W1507035825","doi":"10.5376/lgg.2014.05.0002","title":"Genetic Divergence Analysis in Vegetable cowpea (&lt;i&gt;Vigna unguiculata&lt;/i&gt; subsp. &lt;i&gt;unguiculata&lt;/i&gt; [L.]) Genotypes","year":2014,"lang":"en","type":"article","venue":"Legume Genomics and Genetics","topic":"Agricultural pest management studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vigna; Mahalanobis distance; Genetic divergence; Point of delivery; Biology; Genotype; Divergence (linguistics); Horticulture; Cluster (spacecraft); Veterinary medicine; Genetic diversity; Mathematics; Genetics; Statistics; Gene; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003246695,0.0001491001,0.0002417009,0.001094985,0.0002815362,0.0002625543,0.0001564437,0.0001598945,0.0005130006],"category_scores_gemma":[0.0003522906,0.00007902003,0.0002958006,0.0006912879,0.0001584197,0.0000741479,0.0002503115,0.0003021121,0.00007906782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004050383,"about_ca_system_score_gemma":0.0001717385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002773195,"about_ca_topic_score_gemma":0.003995186,"domain_scores_codex":[0.9997862,0.000047013,0.00001879678,0.00008056623,0.00003855849,0.00002882345],"domain_scores_gemma":[0.9997341,0.0001040861,0.0000489783,0.00002024133,0.00003552979,0.00005711892],"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":[0.0006738775,0.00009512658,0.04339576,0.00006418491,0.0001273447,0.000345909,0.000899569,0.0007023166,0.9442449,0.000300074,0.00004855635,0.009102497],"study_design_scores_gemma":[0.0000261947,0.0005639723,0.9544632,0.000009354358,0.00008120378,0.0009063918,0.000538434,0.00433161,0.03739565,0.0001814174,0.001469905,0.00003263939],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992144,0.00002908889,0.0005369472,0.000003210339,7.900417e-7,0.000002311884,0.0001081069,0.000004820301,0.00010035],"genre_scores_gemma":[0.997776,0.0000263178,0.001239203,0.000005291015,6.800801e-7,0.000008217093,0.0006034431,0.00001097765,0.0003298608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002773195,"threshold_uncertainty_score":0.005514026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008994085160029055,"score_gpt":0.1910303367632285,"score_spread":0.1820362516031994,"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."}}