{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016804,0.0001096656,0.0002609162,0.00002706533,0.00007577545,0.00000189154,0.0001424775,0.00007720094,0.00004347866],"category_scores_gemma":[0.00001359977,0.00005021378,0.0001110993,0.0002047603,0.00009962823,0.00002971882,0.00006597815,0.000104501,1.55223e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000195738,"about_ca_system_score_gemma":0.00001852814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002788782,"about_ca_topic_score_gemma":0.0002886531,"domain_scores_codex":[0.9990266,0.0002241196,0.0003057673,0.0001956311,0.0001023936,0.0001454695],"domain_scores_gemma":[0.9996377,0.00004307568,0.0001893369,0.00007452428,0.00002719374,0.00002813587],"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":[0.0001277759,0.00007827059,0.1597088,0.00001514485,0.00001082428,0.000001736296,0.0001761469,0.00009586314,0.8389065,0.0003062078,0.000006197829,0.000566512],"study_design_scores_gemma":[0.0005817863,0.001268135,0.5407556,0.00009127885,0.00003357713,0.00001390435,0.0003989322,0.0005647948,0.4543349,0.001707143,0.00009281162,0.0001571528],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980781,0.0006743005,0.0006293329,0.0001630606,0.00007369267,0.0001953682,0.0001659681,0.000005263371,0.00001491828],"genre_scores_gemma":[0.9997233,0.00001939303,0.0000890032,0.00007025605,0.00001587859,0.00001780184,0.00004335138,0.000001063285,0.00002001443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3845716,"threshold_uncertainty_score":0.2047658,"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."}}