{"id":"W2903964478","doi":"10.5539/jas.v11n1p179","title":"SSR Based Genetic Diversity Analysis in Diploid Algaroba (Prosopis spp.) Population","year":2018,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Plant Reproductive Biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidade Estadual de Santa Cruz; Fundação de Amparo à Pesquisa do Estado da Bahia; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Biology; Ploidy; Genetic diversity; Inbreeding; Population; Fixation index; Allele; Prosopis; Locus (genetics); Microsatellite; Genetics; Botany; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002281886,0.0001972766,0.000173372,0.001122036,0.0002646316,0.0002586016,0.0001469162,0.0001724549,0.0008994701],"category_scores_gemma":[0.0004300259,0.00007702232,0.0001772112,0.0006429909,0.0001625272,0.0001089368,0.0001844665,0.0001232603,0.0001331497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001680535,"about_ca_system_score_gemma":0.0001314362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002217746,"about_ca_topic_score_gemma":0.004287371,"domain_scores_codex":[0.9998026,0.00002827246,0.00001714184,0.00009107056,0.00004526772,0.00001554995],"domain_scores_gemma":[0.9998296,0.0000276973,0.00005869359,0.0000152096,0.00004713554,0.00002164891],"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":[0.000361514,0.0001047305,0.3024715,0.0001120496,0.0001646188,0.0003898351,0.001750989,0.0004382917,0.6625261,0.0003033349,0.00009711725,0.03127992],"study_design_scores_gemma":[0.00001638666,0.0002413213,0.9858953,0.0000141658,0.00007747018,0.000987499,0.0005765703,0.001054948,0.009593005,0.0001500126,0.00138062,0.00001262728],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987079,0.0000895585,0.0005929541,0.000005830732,0.00000108163,0.000009807643,0.0002555056,0.000006778594,0.0003305293],"genre_scores_gemma":[0.9973878,0.00007763381,0.00141082,0.000008112939,0.000001748696,0.00001835401,0.0007585092,0.000003700443,0.0003332527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002217746,"threshold_uncertainty_score":0.00440973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008244753699431617,"score_gpt":0.2318500510166651,"score_spread":0.2236052973172335,"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."}}