{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007621139,0.00007926733,0.00005146116,0.00002641257,0.0004092207,0.00002481129,0.0002102844,0.00001652452,0.0003641042],"category_scores_gemma":[0.000002832618,0.00005572796,0.00002710012,0.0005897376,0.000392192,0.000128139,0.00009963278,0.0001217488,0.001397984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002000633,"about_ca_system_score_gemma":0.00002146753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001494743,"about_ca_topic_score_gemma":0.002632091,"domain_scores_codex":[0.9993646,0.00002235215,0.00009618086,0.0002505318,0.00011293,0.0001533872],"domain_scores_gemma":[0.9996158,0.0000437062,0.00003109681,0.0002644116,0.000004625413,0.00004035327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009649147,0.0007522553,0.4283391,0.00006067836,0.0002668795,0.00004836721,0.002465934,0.05907011,0.001690425,0.1031807,0.1224015,0.2816275],"study_design_scores_gemma":[0.00003011443,0.00003715699,0.7456843,0.000001976169,0.00001915739,0.00001915513,0.00008992706,0.001479896,0.000008071856,0.001180798,0.2513758,0.00007361628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8891342,0.0002988937,0.05755451,0.007212993,0.0001339803,0.001715747,0.00003704484,0.000381526,0.0435311],"genre_scores_gemma":[0.9963195,0.00004257718,0.001891987,0.0002693073,0.00006135271,0.0005203811,0.00004217571,0.00001162974,0.0008410654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3173452,"threshold_uncertainty_score":0.9993795,"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."}}