{"id":"W2273884046","doi":"10.1038/hdy.2015.71","title":"Polygamy and an absence of fine-scale structure in Dendroctonus ponderosae (Hopk.) (Coleoptera: Curcilionidae) confirmed using molecular markers","year":2015,"lang":"en","type":"article","venue":"Heredity","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Natural Resources; Government of Alberta; University of Alberta","funders":"Genome Alberta; Alberta Innovates Bio Solutions; Genome British Columbia; University of Alberta; Government of Alberta; Genome Canada; Alberta Innovates; McGill University","keywords":"Dendroctonus; Biology; Mountain pine beetle; Polygyny; Evolutionary biology; Mating; Genetic structure; Ecology; Scale (ratio); Mating system; Genetic variation; Zoology; Genetics; Bark beetle; Demography; Curculionidae; Population; Cartography; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002088113,0.0001166789,0.000160268,0.00004038721,0.00004548745,0.00001149396,0.0001462087,0.00009770883,0.0005219814],"category_scores_gemma":[0.00002207584,0.0001153673,0.00001938601,0.0001684488,0.0002648828,0.0001930116,0.0001648986,0.0001186479,0.000009135678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009726774,"about_ca_system_score_gemma":0.00002136795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002325261,"about_ca_topic_score_gemma":0.01333206,"domain_scores_codex":[0.9990768,0.0000766146,0.0001746706,0.0002672939,0.0001856984,0.0002188581],"domain_scores_gemma":[0.9995693,0.00001587502,0.00007110535,0.0002086397,0.00000864572,0.0001264614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001948505,0.0002151954,0.9454567,0.00005470507,0.00002112751,0.0001374464,0.001410071,0.00775941,0.04080864,0.0001566446,0.0009707558,0.002814476],"study_design_scores_gemma":[0.0007757952,0.000150947,0.987227,0.00001424607,0.00001211834,0.00002457928,0.0003787853,0.006061759,0.003511566,0.001348307,0.0003185568,0.0001763915],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975024,0.00005223659,0.0001675113,0.00002761822,0.0001839858,0.0002017156,0.00001006372,0.00001437361,0.001840072],"genre_scores_gemma":[0.9981662,0.000003579182,0.001639314,0.0001011648,0.00001695949,0.00000396732,0.000005003561,0.000005864004,0.00005792915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04177027,"threshold_uncertainty_score":0.7439604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548975891982107,"score_gpt":0.2505449500274783,"score_spread":0.2350551911076573,"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."}}