{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019413,0.0001502767,0.0002383574,0.00004451396,0.0001548777,0.00003758204,0.0001387029,0.000133034,0.00007138161],"category_scores_gemma":[0.00008155864,0.00006519389,0.0001000909,0.0004701574,0.0001057461,0.0002400656,0.00007359501,0.00008773984,0.0000149386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008137554,"about_ca_system_score_gemma":0.00001360183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003678909,"about_ca_topic_score_gemma":0.01579866,"domain_scores_codex":[0.9988682,0.00008462424,0.0003142879,0.0003064364,0.0001657902,0.0002606911],"domain_scores_gemma":[0.9994147,0.0001494863,0.0002090896,0.00007372755,0.0000719342,0.00008101728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003199553,0.0001480904,0.9074479,0.000005617464,0.00001111411,0.000001100683,0.00005646195,8.651669e-7,0.003726114,0.001253516,0.00001631087,0.08730092],"study_design_scores_gemma":[0.0003820057,0.0001719771,0.995094,0.00004791072,0.00001238372,0.000001446963,0.00009152349,0.00001174641,0.0006317598,0.0006049448,0.002783074,0.0001672488],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969113,0.0002337732,0.0001220869,0.001098278,0.00009835295,0.0002282318,0.0003780804,0.00003840618,0.0008914359],"genre_scores_gemma":[0.9996687,0.00004252309,0.00008199051,0.00001886162,0.00008694592,0.00003922058,0.00004656882,6.049959e-7,0.00001464754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08764608,"threshold_uncertainty_score":0.8816023,"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."}}