{"id":"W4387574678","doi":"10.1111/conl.12981","title":"Invasion trends: An interpretable measure of change is needed to support policy targets","year":2023,"lang":"en","type":"article","venue":"Conservation Letters","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Research Council; Monash University; Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; Austrian Science Fund; Department of Forestry, Fisheries and the Environment; Tel Aviv University; Deutsche Forschungsgemeinschaft","keywords":"Scale (ratio); Environmental resource management; Alien species; Biodiversity; Process (computing); Data collection; Investment (military); Computer science; Invasive species; Geography; Ecology; Political science; Environmental science; Biology; Cartography","routes":{"ca_aff":false,"ca_fund":false,"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":[0.02421117,0.001364922,0.001740095,0.00434576,0.001316237,0.011372,0.002629553,0.002488813,0.007485217],"category_scores_gemma":[0.1183274,0.0004516358,0.00100901,0.005586292,0.002847871,0.01298365,0.002798625,0.003969247,0.001421501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005515181,"about_ca_system_score_gemma":0.004111546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0229723,"about_ca_topic_score_gemma":0.01932538,"domain_scores_codex":[0.9754521,0.01595103,0.001879316,0.002048058,0.003932243,0.0007372882],"domain_scores_gemma":[0.9281194,0.03928105,0.01208725,0.008692053,0.01075498,0.001065186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005652925,0.0006603214,0.1648636,0.002680213,0.001153674,0.0003979053,0.004891495,0.09711088,0.00272822,0.2874911,0.1210367,0.3164206],"study_design_scores_gemma":[0.0001217044,0.0005031689,0.1162144,0.002709024,0.0004396427,0.0002525949,0.01468137,0.2158837,0.002732668,0.5043686,0.1416169,0.0004762533],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1733362,0.00648989,0.3724774,0.2457593,0.006234651,0.001104437,0.01886611,0.003846593,0.1718855],"genre_scores_gemma":[0.9070252,0.001422934,0.07981326,0.005133269,0.0007283312,0.0005782439,0.002614076,0.0004302887,0.002254417],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02421117,"threshold_uncertainty_score":0.1280424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1150683223322476,"score_gpt":0.302824923209131,"score_spread":0.1877566008768834,"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."}}