{"id":"W2342954064","doi":"10.11646/zootaxa.4105.6.3","title":"Flightless Notaris (Coleoptera: Curculionidae: Brachycerinae: Erirhinini) in Southwest China: monophyly, mtDNA phylogeography and evolution of habitat associations","year":2016,"lang":"en","type":"article","venue":"Zootaxa","topic":"Coleoptera Taxonomy and Distribution","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"Biology; Monophyly; Phylogeography; Curculionidae; Mitochondrial DNA; Ecology; China; Habitat; Evolutionary biology; Zoology; Phylogenetics; Clade; Genetics; Gene; Archaeology","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":[0.0001882917,0.0002034712,0.0001481376,0.0008061443,0.0004937302,0.0002209514,0.0001663889,0.0001229107,0.0004822212],"category_scores_gemma":[0.0002082674,0.0001046537,0.0001081194,0.0006480403,0.0003490246,0.0002324826,0.000291459,0.0001036781,0.00005901997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003477428,"about_ca_system_score_gemma":0.0003022657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009502636,"about_ca_topic_score_gemma":0.04187542,"domain_scores_codex":[0.9998833,0.0000173607,0.000009788632,0.00004290677,0.00001852885,0.00002815218],"domain_scores_gemma":[0.9997963,0.00002454858,0.00009034016,0.00001526521,0.00002600179,0.00004759135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006046686,0.00001458641,0.9753506,0.00003497122,0.00002750402,0.0001994011,0.001396975,0.00006813557,0.01509275,0.00004391132,0.00002750716,0.007683224],"study_design_scores_gemma":[0.000001201672,0.00001471999,0.999406,0.00000218399,0.00000545406,0.00006949465,0.0001973023,0.00007053041,0.0001060509,0.000009010724,0.0001166484,0.000001428917],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998467,0.00005084591,0.00002060677,0.00000433574,3.368975e-7,8.32142e-7,0.00001306614,6.39757e-7,0.00006260885],"genre_scores_gemma":[0.9997042,0.00006556218,0.00006561411,0.000005352507,9.767833e-7,0.000001430889,0.000070863,5.143596e-7,0.0000855668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009502636,"threshold_uncertainty_score":0.01889467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009876744527220803,"score_gpt":0.200681400368039,"score_spread":0.1908046558408182,"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."}}