{"id":"W4409276051","doi":"10.1016/j.ympev.2025.108347","title":"Deciphering the patterns and timing of diversification of the genus Melanastera (Hemiptera: Psylloidea: Liviidae) in the Neotropics","year":2025,"lang":"en","type":"article","venue":"Molecular Phylogenetics and Evolution","topic":"Phytoplasmas and Hemiptera pathogens","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Masarykova Univerzita; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Biology; Hemiptera; Psylloidea; Sternorrhyncha; Genus; Botany; Diversification (marketing strategy); PEST analysis; Homoptera","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":[0.0003310889,0.0002525835,0.0002239858,0.001329417,0.000254393,0.0003785118,0.0002218202,0.0002135621,0.0005544805],"category_scores_gemma":[0.0006310152,0.0001529673,0.000301731,0.0006930903,0.0003721558,0.0003614327,0.0004843059,0.0002934531,0.0001223819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003220909,"about_ca_system_score_gemma":0.00018266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006076816,"about_ca_topic_score_gemma":0.01318127,"domain_scores_codex":[0.9999112,0.00002085567,0.000008332897,0.00003507522,0.00001096466,0.00001357068],"domain_scores_gemma":[0.9996933,0.00008063476,0.0001203252,0.00002563524,0.00003738317,0.00004269907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000178473,0.0000177157,0.9117632,0.0001408895,0.0001633131,0.0001809189,0.001135859,0.001382698,0.0658433,0.0002035252,0.00004907759,0.01894099],"study_design_scores_gemma":[0.000002003842,0.00001587773,0.9981244,0.000009103234,0.00001820983,0.00008398454,0.0002017378,0.0009429412,0.0003394619,0.00006257144,0.0001956866,0.000003952148],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990652,0.0005212513,0.0001601721,0.000009941886,6.802987e-7,0.00000192142,0.00004954351,0.000005227856,0.0001860329],"genre_scores_gemma":[0.9994307,0.0001939663,0.0002450702,0.000006967936,0.000001468213,0.000002208021,0.00007788236,0.000003003536,0.00003875307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006076816,"threshold_uncertainty_score":0.01208287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01001318288343345,"score_gpt":0.1987192759313228,"score_spread":0.1887060930478894,"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."}}