{"id":"W4402248000","doi":"10.20944/preprints202409.0162.v1","title":"Phylogeographic Analysis to Understand the Origin, Speciation and Biogeographic Expansion of the Invasive Asian Hornet, Vespa velutina","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Phylogeography; Genetic algorithm; Biology; Ecology; Biogeography; Evolutionary biology; Geography; Phylogenetics; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001293394,0.0004316638,0.000558641,0.004753395,0.000628591,0.0009221754,0.0005265069,0.0004431038,0.004633976],"category_scores_gemma":[0.003301755,0.0002493618,0.001109002,0.004008403,0.0002504063,0.0008096344,0.0007336805,0.0007661146,0.0006074833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004576363,"about_ca_system_score_gemma":0.0004333612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005426663,"about_ca_topic_score_gemma":0.004308336,"domain_scores_codex":[0.9995354,0.0001743378,0.00004799574,0.000145736,0.00003842638,0.00005808516],"domain_scores_gemma":[0.9985486,0.0009560806,0.0002514392,0.00008263373,0.00008827988,0.00007296498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004656669,0.0002133661,0.8536944,0.0005316603,0.001605519,0.0007523698,0.004317187,0.01609291,0.02419759,0.005048641,0.003651984,0.08942872],"study_design_scores_gemma":[0.00005814361,0.0001413091,0.8451082,0.0001433414,0.0004156035,0.0008106289,0.002561174,0.1313193,0.00265481,0.003598844,0.01314191,0.00004673312],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9531519,0.0005378837,0.03586362,0.0003416153,0.00001305113,0.00009449958,0.005136266,0.0005575053,0.004303634],"genre_scores_gemma":[0.9607363,0.0002426074,0.03331866,0.00004484717,0.00001027757,0.000139128,0.004704731,0.0001341124,0.0006691472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005426663,"threshold_uncertainty_score":0.01550215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0631090437345373,"score_gpt":0.3014524667855582,"score_spread":0.2383434230510209,"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."}}