{"id":"W2106006978","doi":"10.1139/g08-087","title":"Development and characterization of microsatellite markers for analysis of population differentiation in the tree legume<i>Acacia koa</i>(Fabaceae: Mimosoideae) in the Hawaiian Islands","year":2008,"lang":"en","type":"article","venue":"Genome","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Microsatellite; Mimosoideae; Fabaceae; Genetics; Genetic diversity; Evolutionary biology; Genetic marker; Primer (cosmetics); Population; Allele; 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":[0.0003208585,0.0001901827,0.0001408637,0.0004445477,0.0001223772,0.0002972967,0.0002017078,0.000173209,0.0002809295],"category_scores_gemma":[0.0006753381,0.0001391446,0.0001413,0.000253056,0.00009541573,0.0001248692,0.0001366415,0.0001826128,0.0001567372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001266552,"about_ca_system_score_gemma":0.0002531462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002025934,"about_ca_topic_score_gemma":0.004331389,"domain_scores_codex":[0.9998689,0.00003421466,0.0000141568,0.00003943332,0.00002990988,0.00001340191],"domain_scores_gemma":[0.9995882,0.000101566,0.0001278824,0.00002965337,0.0001036506,0.0000491079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005590122,0.00003785197,0.03449109,0.00005909562,0.00002481323,0.00009613411,0.0002524445,0.0003299641,0.9500535,0.00005728644,0.00001950397,0.01452247],"study_design_scores_gemma":[0.00007967548,0.0009759778,0.7048821,0.00007743172,0.0002255777,0.001501762,0.0009459988,0.01046518,0.2752413,0.0002312551,0.005320724,0.00005294251],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963954,0.0002431594,0.003042338,0.00001172248,0.00000136279,0.00002259105,0.0001069255,0.00001401195,0.0001624681],"genre_scores_gemma":[0.9763407,0.0002561392,0.02239704,0.0000137527,0.000003221698,0.000051171,0.0005931124,0.00001034189,0.0003345372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002025934,"threshold_uncertainty_score":0.00402832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01337135443097473,"score_gpt":0.2166736130861304,"score_spread":0.2033022586551557,"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."}}