{"id":"W2783874636","doi":"10.5376/mpb.2017.08.008","title":"Genetic Diversity Analysis of Capsicum Genus by SSR Markers","year":2017,"lang":"en","type":"article","venue":"Molecular Plant Breeding","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Germplasm; Genetic diversity; Biology; Pepper; UPGMA; Subspecies; Loss of heterozygosity; Microsatellite; Genetic distance; Genetics; Population; Allele; Genetic variation; Botany; Horticulture; Zoology; 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":[0.00007349029,0.00008891579,0.0001695933,0.00001127797,0.0005633703,0.00002980145,0.0002977525,0.00004004068,0.0001006996],"category_scores_gemma":[0.00001226806,0.00004056909,0.0001196194,0.00007135746,0.00009867722,0.00002616287,0.0004645037,0.00003712019,0.000004782896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001264199,"about_ca_system_score_gemma":7.016271e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002024792,"about_ca_topic_score_gemma":0.0002587517,"domain_scores_codex":[0.9993443,0.00001439526,0.00009862828,0.0001920425,0.00018258,0.00016804],"domain_scores_gemma":[0.9997433,0.00001647503,0.0001044195,0.00007588505,0.000008208653,0.00005168315],"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":[0.00001021617,0.00001981556,0.4362025,0.000002686934,0.00031209,0.00001673916,0.00005107479,0.00003349262,0.5548978,0.000004785157,0.0005957058,0.007853124],"study_design_scores_gemma":[0.00005916543,0.00006605309,0.9905763,0.000004378503,0.0003046911,0.000001746627,0.0001926218,0.0001656569,0.007776299,0.00001372799,0.0007316467,0.0001077008],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981195,0.0002797622,0.00002725944,0.0001455343,0.00004317571,0.0000505436,0.0001888401,0.000007404905,0.001138002],"genre_scores_gemma":[0.9996337,0.00009161651,0.00007298081,0.00004463262,0.0000151022,0.000001449201,0.00003981193,4.607359e-7,0.0001002301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5543738,"threshold_uncertainty_score":0.4333046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01665119182894541,"score_gpt":0.1803705716975199,"score_spread":0.1637193798685745,"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."}}