{"id":"W1483466937","doi":"10.1111/ens.12121","title":"Development of microsatellite loci from a reference genome for the Neotropical butterfly <i><scp>H</scp>eliconius numata</i> and its close relatives","year":2015,"lang":"en","type":"article","venue":"Entomological Science","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche","keywords":"Biology; Microsatellite; Butterfly; Evolutionary biology; Locus (genetics); Balancing selection; Sympatric speciation; Loss of heterozygosity; Population; Genetic architecture; Genetics; Mimicry; Genetic diversity; Supergene (geology); Allele; Genetic variation; Quantitative trait locus; Ecology; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005221606,0.0004032866,0.0003987367,0.001195642,0.0003265843,0.0003265444,0.0004980277,0.0003435965,0.001863238],"category_scores_gemma":[0.00137864,0.0002725018,0.0004915754,0.001223417,0.0001336594,0.0001531884,0.0003036573,0.0004246959,0.001135147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003238685,"about_ca_system_score_gemma":0.0004854873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003578199,"about_ca_topic_score_gemma":0.005923284,"domain_scores_codex":[0.9997957,0.00002952325,0.00002194266,0.00009329051,0.00004275149,0.00001672793],"domain_scores_gemma":[0.9992083,0.0001298003,0.0002267712,0.0001203414,0.0002419912,0.00007279453],"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":[0.0006867779,0.0001458278,0.02455217,0.0004802202,0.0001674634,0.0004356183,0.0005274258,0.002026025,0.8945327,0.0006200765,0.001268733,0.07455714],"study_design_scores_gemma":[0.0004813208,0.001163257,0.6420857,0.0004853287,0.0007485931,0.002152199,0.0006318721,0.02267849,0.2307249,0.001279973,0.09746193,0.0001064625],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8812119,0.001605019,0.08053684,0.0001720981,0.0001331016,0.0005727189,0.02911507,0.001102228,0.005551011],"genre_scores_gemma":[0.5988467,0.0009837414,0.2864349,0.0001525043,0.00005143117,0.001002144,0.1070134,0.0003436367,0.005171585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003578199,"threshold_uncertainty_score":0.007114708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05257660232685989,"score_gpt":0.2788613745189793,"score_spread":0.2262847721921194,"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."}}