{"id":"W4404549740","doi":"10.1111/eva.70036","title":"Tracking the North American Asian Longhorned Beetle Invasion With Genomics","year":2024,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; Université Laval; Natural Resources Canada; University of British Columbia; Okanagan University College; Canadian Food Inspection Agency; Canadian Forest Service","funders":"Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Alliance de recherche numérique du Canada; Genome Canada; Canadian Food Inspection Agency; China Scholarship Council; FPInnovations; Natural Resources Canada; Genome British Columbia","keywords":"Biology; Biosecurity; Population genomics; Invasive species; Ecology; Genomics; Introduced species; Population; Population bottleneck; Population genetics; Evolutionary biology; Genome; Genetics; Microsatellite","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002397708,0.000139105,0.0001108955,0.0005957686,0.0002278184,0.0002973821,0.0001219173,0.0001718908,0.0006899839],"category_scores_gemma":[0.0002518907,0.00006879881,0.0001034183,0.0006353069,0.0001213971,0.0002014332,0.0002267853,0.0002201162,0.0001134197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002246365,"about_ca_system_score_gemma":0.000157046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008960665,"about_ca_topic_score_gemma":0.02934703,"domain_scores_codex":[0.9999011,0.00002229957,0.000002828893,0.00004245548,0.00001642656,0.00001483934],"domain_scores_gemma":[0.9997529,0.00004676104,0.000085876,0.00001806709,0.00006352633,0.00003275921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001207068,0.000122401,0.855526,0.00007152605,0.00007724699,0.00009873023,0.0006591651,0.0006611701,0.105651,0.0002071041,0.0006463563,0.03615852],"study_design_scores_gemma":[0.000002518872,0.00004359484,0.9950717,0.000007268578,0.00002425703,0.00008806761,0.0004849968,0.0008953927,0.002233998,0.00007386173,0.001070213,0.000003969967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975795,0.0001204023,0.0006948878,0.00005876514,0.000002404309,0.000008145574,0.0006242317,0.00001631195,0.0008954647],"genre_scores_gemma":[0.9962282,0.0001003145,0.002496309,0.00007475455,0.000003662743,0.00001297724,0.0006244723,0.000002758078,0.0004564861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008960665,"threshold_uncertainty_score":0.01781702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007487924835674929,"score_gpt":0.210402495377054,"score_spread":0.202914570541379,"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."}}