{"id":"W2517788707","doi":"10.1002/ece3.2367","title":"Adaptive and neutral markers both show continent‐wide population structure of mountain pine beetle (<i>Dendroctonus ponderosae</i>)","year":2016,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia; University of Alberta","funders":"Genome Alberta; McGill University; Alberta Innovates; Alberta Innovates Bio Solutions; Genome British Columbia; Genome Canada","keywords":"Mountain pine beetle; Biology; Population; Single-nucleotide polymorphism; Evolutionary biology; Genetic structure; Range (aeronautics); Genetics; Genetic marker; Ecology; Genetic variation; Genotype; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003963386,0.0001262414,0.000102693,0.0005217944,0.0002938078,0.000392515,0.0001618108,0.0001344957,0.0008294256],"category_scores_gemma":[0.000575839,0.00007522274,0.0001193461,0.0004757586,0.0003706125,0.0001275329,0.0002194387,0.0002718491,0.00008433015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002885828,"about_ca_system_score_gemma":0.0002619062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01709263,"about_ca_topic_score_gemma":0.09193081,"domain_scores_codex":[0.999845,0.00003243663,0.00001045149,0.00005594144,0.00003577863,0.00002035881],"domain_scores_gemma":[0.9995746,0.0001430377,0.0001284236,0.00003306107,0.00007959548,0.00004119526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002684444,0.0000346028,0.8077484,0.0001157106,0.000219064,0.0001555337,0.001421309,0.001330491,0.1481686,0.0007192045,0.0001853323,0.03963314],"study_design_scores_gemma":[0.000004844556,0.000026697,0.9942117,0.00001035391,0.00005040596,0.0001372643,0.0003087507,0.0007589278,0.003708496,0.0001798011,0.0005948541,0.00000794159],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978263,0.0001145112,0.001161362,0.00001459087,0.000001777083,0.000002315945,0.0001083888,0.00001019978,0.0007604313],"genre_scores_gemma":[0.9982288,0.0000507693,0.001345081,0.00001378924,0.000001640553,0.000002265431,0.0001616931,0.000003324644,0.0001926047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01709263,"threshold_uncertainty_score":0.03398633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00422568669634652,"score_gpt":0.1891865565179449,"score_spread":0.1849608698215983,"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."}}