{"id":"W2938956588","doi":"10.1002/ece3.5103","title":"Ancient landscapes of the Namib Desert harbor high levels of genetic variability and deeply divergent lineages for Collembola","year":2019,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Collembola Taxonomy and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nunavut Arctic College","funders":"Genomics Research Institute, University of Pretoria; The World Academy of Sciences; University of Pretoria; Waikato Graduate Women Educational Trust; National Institute of Environmental Health Sciences; Antarctica New Zealand; University of Waikato","keywords":"Biology; Biological dispersal; Ecology; Gene flow; Genetic diversity; Disjunct; Genetic divergence; Coalescent theory; DNA barcoding; Cytochrome c oxidase subunit I; Genetic variation; Mitochondrial DNA; Phylogenetics; Gene; Population","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001933228,0.000167772,0.0002230088,0.0008112411,0.0006303675,0.0005295421,0.000204427,0.0002001999,0.001092206],"category_scores_gemma":[0.0005719087,0.0001073906,0.00008998027,0.0008637073,0.0003177283,0.0002095124,0.000445797,0.000133722,0.00008639281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003508069,"about_ca_system_score_gemma":0.0001994248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009449787,"about_ca_topic_score_gemma":0.02826262,"domain_scores_codex":[0.9998794,0.00002965033,0.000008465265,0.00003233138,0.0000248518,0.00002541126],"domain_scores_gemma":[0.9998347,0.00002764735,0.0000709691,0.00001396168,0.0000253009,0.00002747335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001463981,0.00002428595,0.9304683,0.00008587157,0.0001169736,0.0005901398,0.001990355,0.0003363836,0.04838184,0.0001795636,0.00008413778,0.01759575],"study_design_scores_gemma":[0.000003692146,0.0000139272,0.9983253,0.000009821921,0.000008653268,0.000172678,0.0007155071,0.0001956849,0.0002528538,0.00005229649,0.0002471218,0.000002624551],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994752,0.00009507054,0.0001037382,0.000009729384,5.064855e-7,0.00000207752,0.0000424898,0.000001978485,0.000269212],"genre_scores_gemma":[0.9996116,0.00004408606,0.0001720327,0.000008244922,0.000001586926,0.00000358076,0.00008618495,9.619487e-7,0.00007182305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009449787,"threshold_uncertainty_score":0.01878953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0110779760234312,"score_gpt":0.1895703084961583,"score_spread":0.1784923324727271,"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."}}