{"id":"W2902515710","doi":"10.1073/pnas.1815820115","title":"Phylogenomics and the evolution of hemipteroid insects","year":2018,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Insect-Plant Interactions and Control","field":"Agricultural and Biological Sciences","cited_by":409,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Albert-Ludwigs-Universität Freiburg; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Commonwealth Scientific and Industrial Research Organisation; National Science Foundation","keywords":"Biology; Phylogenomics; Hemiptera; Monophyly; Supermatrix; Phylogenetic tree; Phylogenetics; Evolutionary biology; Clade; Sister group; Zoology; Ecology","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":[0.0006867768,0.00004461356,0.00008798575,0.00001740793,0.0002253069,0.00001402725,0.0003581302,0.00003709664,0.00001691231],"category_scores_gemma":[0.0001610398,0.0000125024,0.00004465672,0.0003113862,0.001113892,0.0001403083,0.00006746221,0.00006118642,5.966614e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001417824,"about_ca_system_score_gemma":0.000006604838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008276058,"about_ca_topic_score_gemma":0.000001971483,"domain_scores_codex":[0.9993294,0.000006645701,0.0001721512,0.0001022401,0.0003158203,0.00007372814],"domain_scores_gemma":[0.9993352,0.0001646847,0.0002706821,0.000002337189,0.0002159554,0.00001114493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005278959,0.00001490904,0.00307269,0.000005058107,0.000006233575,3.808958e-10,0.00009965901,0.000001083562,0.9383339,0.05679096,0.0001238261,0.001498891],"study_design_scores_gemma":[0.0003721612,0.0002473444,0.379916,0.0000696778,0.00001913547,0.00002254848,0.0009562933,0.001397629,0.5177019,0.0982554,0.0009467433,0.00009510548],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992198,0.0001099179,1.733927e-7,0.002098391,0.00001886822,0.00009580104,0.00001551533,0.000002837443,0.005460481],"genre_scores_gemma":[0.9995926,0.00001876549,0.00004537631,0.0001526055,0.0001301556,0.000003538477,6.145323e-8,1.74875e-7,0.00005671794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.420632,"threshold_uncertainty_score":0.4104183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02027714757038661,"score_gpt":0.237750603453879,"score_spread":0.2174734558834924,"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."}}