{"id":"W3130042158","doi":"10.1016/j.ympev.2021.107115","title":"Phylogeny and classification of Odonata using targeted genomics","year":2021,"lang":"en","type":"article","venue":"Molecular Phylogenetics and Evolution","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Ministerio de Ciencia e Innovación; Rutgers, The State University of New Jersey; Brigham Young University; National Science Foundation","keywords":"Biology; Incertae sedis; Phylogenetics; Phylogenomics; Evolutionary biology; Phylogenetic tree; Supermatrix; Taxon; Coalescent theory; Monophyly; Taxonomy (biology); Zoology; Ecology; Genetics; Gene","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":[0.0002998793,0.0003196762,0.0002648136,0.00163061,0.0004939272,0.0007389787,0.0002346838,0.0002950238,0.000876423],"category_scores_gemma":[0.0005298907,0.0001017647,0.0003796972,0.0008642322,0.0002843398,0.0003575309,0.0005899838,0.0004277586,0.0003588129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003270797,"about_ca_system_score_gemma":0.0002671449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001705925,"about_ca_topic_score_gemma":0.003015378,"domain_scores_codex":[0.9998185,0.0000280645,0.00001302488,0.00007214049,0.00003059784,0.00003771175],"domain_scores_gemma":[0.9998078,0.00005220077,0.00005313504,0.00001867739,0.0000354367,0.00003281939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004425115,0.00008280782,0.2507518,0.0002534079,0.0001685089,0.0004859465,0.002136648,0.001482225,0.6557283,0.002094055,0.0003746295,0.08599912],"study_design_scores_gemma":[0.0000211489,0.0002675214,0.9598444,0.0001078089,0.0001962707,0.0007508501,0.001669199,0.01054337,0.01312414,0.001900948,0.01153355,0.00004089668],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900187,0.0005262431,0.006479673,0.00005907855,0.00001067309,0.00003404023,0.0007775752,0.00005624432,0.002037777],"genre_scores_gemma":[0.9866074,0.0003013173,0.0097834,0.00007728299,0.000008298227,0.00003347159,0.002561755,0.00001758293,0.0006095055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001705925,"threshold_uncertainty_score":0.003392041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01209562760141349,"score_gpt":0.1943327433768656,"score_spread":0.1822371157754521,"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."}}