{"id":"W4386891227","doi":"10.32942/x22c82","title":"Invasion trends: An interpretable measure of change is needed to support policy targets","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Azrieli Foundation; Austrian Science Fund; Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; Monash University; Department of Forestry, Fisheries and the Environment; Tel Aviv University; Deutsche Forschungsgemeinschaft","keywords":"Scale (ratio); Process (computing); Alien species; Investment (military); Data collection; Environmental resource management; Set (abstract data type); Computer science; Data science; Geography; Political science; Invasive species; Ecology; Economics; Cartography; Biology; Statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.02028256,0.001827909,0.001970293,0.005015231,0.001127696,0.01025679,0.002041731,0.002434332,0.006115047],"category_scores_gemma":[0.09016383,0.0004854424,0.001082038,0.005717305,0.002298691,0.01640988,0.002566796,0.004225402,0.001586703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003844256,"about_ca_system_score_gemma":0.003593994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01434147,"about_ca_topic_score_gemma":0.01242569,"domain_scores_codex":[0.9860553,0.008023463,0.001218162,0.001522358,0.002685125,0.0004956332],"domain_scores_gemma":[0.9579434,0.02198385,0.007585916,0.005560499,0.006183207,0.0007430488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004271388,0.0006658122,0.143441,0.003253496,0.001395328,0.0004219473,0.005051128,0.07820418,0.003013021,0.346743,0.09188457,0.3254994],"study_design_scores_gemma":[0.000086616,0.0004408029,0.09915379,0.002362811,0.000466842,0.0002473225,0.01146098,0.1410591,0.002551224,0.5948821,0.146866,0.0004223954],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1456272,0.01002585,0.4767455,0.1570744,0.006450525,0.001280818,0.02659176,0.004626459,0.1715775],"genre_scores_gemma":[0.8522873,0.003437886,0.1291854,0.004398463,0.0009906604,0.0009293099,0.005210076,0.0007582882,0.002802673],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02028256,"threshold_uncertainty_score":0.1072657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08988875742696942,"score_gpt":0.3061798312166355,"score_spread":0.2162910737896661,"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."}}