{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002009344,0.0001047837,0.0001210694,0.0001604045,0.0000729835,0.0000230936,0.0001900746,0.00004530225,0.02306676],"category_scores_gemma":[0.00005646974,0.0001061619,0.00004799856,0.001150133,0.00006971522,0.0003391677,0.00011652,0.00004676433,0.001597325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002327401,"about_ca_system_score_gemma":0.000008625889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003482285,"about_ca_topic_score_gemma":0.0005285912,"domain_scores_codex":[0.9990261,0.0000355766,0.0001911932,0.0002257119,0.000280562,0.0002409041],"domain_scores_gemma":[0.9995312,0.0000158441,0.00007392534,0.0002387518,0.00001725602,0.0001230092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00002961205,0.00003708053,0.04404263,0.00001014234,0.000006799958,0.000003234503,0.003752875,0.000009693874,0.2648047,0.0001211799,0.6829501,0.004231937],"study_design_scores_gemma":[0.0005416593,0.0001757385,0.7539454,0.00002576312,0.00001337764,0.000003214069,0.002527428,0.0004519472,0.03022166,0.00002672365,0.2117574,0.0003097286],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9056705,0.000002291692,0.00009397695,0.09097473,0.0001181502,0.0001474232,0.0001087773,0.0000944864,0.002789623],"genre_scores_gemma":[0.9104205,0.000008295428,0.00005053513,0.08850379,0.00004770978,0.00005593533,0.0003145906,0.00001288099,0.0005857517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7099028,"threshold_uncertainty_score":0.99918,"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."}}