{"id":"W4387079738","doi":"10.1111/ddi.13772","title":"Global flows of insect transport and establishment: The role of biogeography, trade and regulations","year":2023,"lang":"en","type":"article","venue":"Diversity and Distributions","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Forest Service","funders":"Animal and Plant Health Inspection Service; Centre National de la Recherche Scientifique; National Socio-Environmental Synthesis Center; Canadian Food Inspection Agency; U.S. Department of Agriculture; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Propagule pressure; Biosecurity; Biogeography; Ecology; Invasive species; Introduced species; Range (aeronautics); Geography; Mainland; Biology; Macroecology; Species distribution; Insular biogeography; Nearctic ecozone; Biological dispersal; Habitat; Taxonomy (biology); Population","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0008595634,0.0001958776,0.0001745096,0.0009459326,0.0002106148,0.0009023731,0.000161087,0.0001457925,0.001471199],"category_scores_gemma":[0.001856675,0.0001184667,0.0003102574,0.00130194,0.0005983468,0.0006841893,0.0005287238,0.0002393961,0.00006336048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003747449,"about_ca_system_score_gemma":0.0002808823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01692238,"about_ca_topic_score_gemma":0.01945988,"domain_scores_codex":[0.9997516,0.0001056734,0.00002022079,0.00005606611,0.00003145678,0.00003490053],"domain_scores_gemma":[0.9975082,0.0008741756,0.00123217,0.0001292147,0.0001371083,0.0001190902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002719258,0.000006145086,0.9929895,0.00002552758,0.00009148719,0.00003653314,0.0001700136,0.0007881636,0.0003991247,0.0003695459,0.00006899562,0.005027759],"study_design_scores_gemma":[8.547513e-7,0.000007526071,0.9989275,0.000007535055,0.00001460012,0.00001444284,0.0001132934,0.0006103569,0.00003579779,0.0001050229,0.000161156,0.000002033302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975775,0.0006192217,0.0004222697,0.00009447043,0.000003247726,0.000003632403,0.0002349931,0.000007239573,0.00103749],"genre_scores_gemma":[0.9992917,0.00026523,0.0002071745,0.000008075559,0.00000589706,0.00000284949,0.0001239979,0.000002341513,0.00009267071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01692238,"threshold_uncertainty_score":0.03364778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008233188351854917,"score_gpt":0.1853206270465783,"score_spread":0.1770874386947234,"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."}}