{"id":"W4307009031","doi":"10.1093/molbev/msac229","title":"Transcriptome-based Phylogeny of the Semi-aquatic Bugs (Hemiptera: Heteroptera: Gerromorpha) Reveals Patterns of Lineage Expansion in a Series of New Adaptive Zones","year":2022,"lang":"en","type":"article","venue":"Molecular Biology and Evolution","topic":"Phytoplasmas and Hemiptera pathogens","field":"Agricultural and Biological Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Centre d'étude de la biodiversité amazonienne; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo; Agence Nationale de la Recherche","keywords":"Biology; Lineage (genetic); Heteroptera; Hemiptera; Phylogenetics; Biological dispersal; Phylogenomics; Gerridae; Monophyly; Evolutionary biology; Ecology; Amniote; Zoology; Vertebrate; Clade; Gene; Population","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":[0.0002298917,0.0003102234,0.0003688951,0.0007135331,0.0004080381,0.0005548561,0.0001665664,0.0002881523,0.001065889],"category_scores_gemma":[0.0004119525,0.0002118431,0.00033792,0.0008866802,0.0002995406,0.0006496537,0.0004544681,0.0005419693,0.0006045947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001887177,"about_ca_system_score_gemma":0.0002182837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005368264,"about_ca_topic_score_gemma":0.001928249,"domain_scores_codex":[0.9998324,0.00001258486,0.00001035587,0.00009881027,0.00002423453,0.00002163372],"domain_scores_gemma":[0.9997706,0.00007014354,0.00006831561,0.00002506436,0.00003362255,0.00003232737],"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":[0.0002985581,0.00006348175,0.0792679,0.0009361872,0.0001591279,0.0003503117,0.001213234,0.001571038,0.8679445,0.001532467,0.00174611,0.04491705],"study_design_scores_gemma":[0.00002828775,0.0002403489,0.9323204,0.0001764651,0.0002748562,0.001104147,0.0007269059,0.007581575,0.01936545,0.002096102,0.0360252,0.00006025313],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9587685,0.004383418,0.01198506,0.0001573444,0.00005347083,0.00002704732,0.02147353,0.0003495726,0.002802081],"genre_scores_gemma":[0.9350109,0.002283149,0.01880779,0.0002051103,0.00004031126,0.00006558776,0.04202379,0.0002107724,0.001352581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001065889,"threshold_uncertainty_score":0.003565729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01367808880752604,"score_gpt":0.2157128711519084,"score_spread":0.2020347823443824,"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."}}