{"id":"W3091712078","doi":"10.1111/ddi.13167","title":"Trends in the detection of aquatic non‐indigenous species across global marine, estuarine and freshwater ecosystems: A 50‐year perspective","year":2020,"lang":"en","type":"article","venue":"Diversity and Distributions","topic":"Marine Ecology and Invasive Species","field":"Environmental Science","cited_by":231,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto; Fisheries and Oceans Canada","funders":"European Regional Development Fund; Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; Consejo Nacional de Investigaciones Científicas y Técnicas; Serono Symposia International Foundation; International Council for the Exploration of the Sea; Galapagos Conservancy; National Natural Science Foundation of China; Environmental Protection Agency; Fundação para a Ciência e a Tecnologia; Commonwealth Scientific and Industrial Research Organisation; North Pacific Marine Science Organization","keywords":"Ecology; Indigenous; Estuary; Geography; Perspective (graphical); Ecosystem; Freshwater ecosystem; Marine ecosystem; Aquatic ecosystem; Oceanography; Fishery; Environmental science; Biology; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00141386,0.0003586703,0.000291866,0.004234802,0.0002532686,0.0009358074,0.0005018136,0.0003694142,0.00232969],"category_scores_gemma":[0.003493509,0.0002257721,0.0006199293,0.003927182,0.0003689757,0.001882381,0.001010114,0.0005943935,0.0004430998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005603688,"about_ca_system_score_gemma":0.0006847301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02591874,"about_ca_topic_score_gemma":0.0467491,"domain_scores_codex":[0.9993355,0.00007021057,0.0001277571,0.0002800381,0.0001016493,0.00008494086],"domain_scores_gemma":[0.9952809,0.0007711421,0.002259402,0.0002392094,0.001085116,0.0003641709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000708041,0.00002223028,0.9450742,0.001783362,0.0005121437,0.0001311627,0.001382149,0.000423191,0.001384449,0.0005190811,0.004887207,0.04381001],"study_design_scores_gemma":[8.918649e-7,0.00003835864,0.9908087,0.0002703127,0.00008026751,0.0001090395,0.0005382123,0.0001867784,0.0002055556,0.00008270986,0.007668484,0.00001064309],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8891407,0.04403175,0.002315645,0.002006358,0.0002903346,0.00003698375,0.05722747,0.0001231794,0.00482756],"genre_scores_gemma":[0.9547703,0.01754566,0.002415654,0.0006535836,0.0002038485,0.00005115051,0.02296646,0.00003301605,0.001360346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02591874,"threshold_uncertainty_score":0.05153579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01470476572092252,"score_gpt":0.219979829593384,"score_spread":0.2052750638724615,"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."}}