{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000922727,0.00007322345,0.0001066124,0.00001176911,0.0006620683,0.00001738379,0.0001098705,0.00004351933,0.0005463252],"category_scores_gemma":[0.0000436159,0.00005838547,0.00003215394,0.0002368161,0.0003057073,0.0001165956,0.0008416825,0.00008309371,0.00001606606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000106959,"about_ca_system_score_gemma":0.00000319665,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01640778,"about_ca_topic_score_gemma":0.1021665,"domain_scores_codex":[0.9994699,0.00004083124,0.00008617661,0.000164912,0.00009399676,0.000144152],"domain_scores_gemma":[0.9998069,0.00002917176,0.00003816309,0.00007095305,0.000008316363,0.00004653846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003129699,0.00005274088,0.9901041,0.000005515783,0.00001164447,0.00000560907,0.008320574,0.000006288059,0.00007707063,0.000872925,0.0001922001,0.0003199753],"study_design_scores_gemma":[0.0003188547,0.0001089106,0.9890922,0.000001470419,0.00001940228,0.000006688574,0.00832416,0.0001763797,0.00007300725,0.0006918584,0.001123387,0.00006368782],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943427,0.00001217584,0.0003125751,0.0006690783,0.00002449403,0.00009952427,0.0002601375,0.000007746467,0.004271583],"genre_scores_gemma":[0.9997875,0.00002434808,0.00002108752,0.00005430613,0.00001604599,0.000002733949,0.000037182,9.334617e-7,0.00005587192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08575868,"threshold_uncertainty_score":0.990142,"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."}}