{"id":"W4405948879","doi":"10.1101/2024.12.30.630774","title":"Deciphering the patterns and timing of diversification of the genus <i>Melanastera</i> (Hemiptera: Psylloidea: Liviidae) in the Neotropics","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Phytoplasmas and Hemiptera pathogens","field":"Agricultural and Biological Sciences","cited_by":0,"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; National Science Foundation","keywords":"Hemiptera; Psylloidea; Biology; Diversification (marketing strategy); Zoology; Botany; Business; PEST analysis","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":[0.0003219368,0.0001937526,0.0001998187,0.001214634,0.0002822011,0.0003840679,0.0002241809,0.0002074938,0.0008229825],"category_scores_gemma":[0.0005244883,0.0001481474,0.0002552879,0.0005898527,0.0003739685,0.0003838862,0.0004680048,0.0002843252,0.0001583066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003119126,"about_ca_system_score_gemma":0.0001541134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007163582,"about_ca_topic_score_gemma":0.01351057,"domain_scores_codex":[0.9999193,0.0000174184,0.00000622874,0.00003379821,0.000008938031,0.00001439568],"domain_scores_gemma":[0.9997004,0.00006461208,0.0001212823,0.00002402463,0.00004577476,0.00004383607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001888436,0.00001398116,0.904245,0.0001269573,0.0001526049,0.0001330459,0.0009146949,0.0007063591,0.07807267,0.0001972221,0.00009506945,0.01515347],"study_design_scores_gemma":[0.000001318762,0.00001191481,0.9986489,0.000007752495,0.00001089831,0.0000553783,0.0001880693,0.0005161579,0.000318142,0.00003689053,0.0002018542,0.00000264214],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990581,0.0003679782,0.0001684556,0.00001124962,9.541325e-7,0.000001905316,0.0000722032,0.000007246854,0.000311926],"genre_scores_gemma":[0.9996688,0.0000941496,0.0001292137,0.000005685073,0.000001008931,0.000001386829,0.00006608572,0.000002709057,0.00003100499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007163582,"threshold_uncertainty_score":0.01424378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01912595991526719,"score_gpt":0.1995101422100994,"score_spread":0.1803841822948322,"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."}}