{"id":"W4388469515","doi":"10.3133/ofr20221070","title":"Development and application of a risk assessment tool for aquatic invasive species in the international Rainy-Lake of the Woods Basin, United States and Canada","year":2023,"lang":"en","type":"article","venue":"Antarctica A Keystone in a Changing World","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Geological Survey","keywords":"Geography; Wildlife; Invasive species; Structural basin; Biodiversity; Recreation; Indigenous; Introduced species; Fishing; Ecology; Wilderness area; Geological survey; Fishery; Environmental protection; Wilderness; Biology","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":[0.002586372,0.0008857314,0.0003935047,0.007577851,0.002147775,0.003361693,0.001185947,0.0005060601,0.01492068],"category_scores_gemma":[0.01109512,0.0004432992,0.0007431644,0.003556955,0.0002528618,0.001195691,0.001324143,0.0005266369,0.002481277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006754106,"about_ca_system_score_gemma":0.01700315,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8300781,"about_ca_topic_score_gemma":0.896857,"domain_scores_codex":[0.9988009,0.0001254187,0.0001425776,0.0001567139,0.0006619413,0.0001125773],"domain_scores_gemma":[0.9929811,0.001812707,0.0002985713,0.0001558159,0.00441284,0.0003390507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003665174,0.0005227933,0.2006064,0.0008270919,0.0002650125,0.000633393,0.003444104,0.01790045,0.004275525,0.00710748,0.2066118,0.5574394],"study_design_scores_gemma":[0.0002471493,0.0003005856,0.3309877,0.001300647,0.0004135333,0.0005607148,0.009655374,0.3914843,0.01083712,0.006454874,0.2472846,0.0004735157],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.2784977,0.001254205,0.2753003,0.004104312,0.0003029243,0.009667087,0.1411093,0.04772988,0.2420343],"genre_scores_gemma":[0.3268083,0.001091329,0.6052032,0.0004368546,0.00002487166,0.002023625,0.03297542,0.0008611195,0.03057525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1699219,"threshold_uncertainty_score":0.3418452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01201402543512077,"score_gpt":0.224738753099664,"score_spread":0.2127247276645432,"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."}}