{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004909871,0.00008302506,0.0001125054,0.0001898958,0.0001134828,0.000008938941,0.0001733904,0.00001241597,0.00001365048],"category_scores_gemma":[0.00008389054,0.00005894246,0.00001467602,0.00073695,0.0002138601,0.00004660778,0.0003169736,0.00007138336,6.978574e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002377326,"about_ca_system_score_gemma":0.00001482027,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0750521,"about_ca_topic_score_gemma":0.6830187,"domain_scores_codex":[0.9991888,0.00004636828,0.0001878465,0.0001551202,0.0002720248,0.0001498105],"domain_scores_gemma":[0.999166,0.0006031854,0.0001095241,0.0001044768,0.000004300518,0.00001257379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000102262,0.00003069362,0.9910507,0.00002465302,0.00001881226,0.000001432725,0.007344042,0.000247977,0.000385816,0.00007250885,0.0002836248,0.0005295724],"study_design_scores_gemma":[0.0002994418,0.00001044101,0.9847657,0.00005252739,0.00001276992,9.885213e-7,0.008192153,0.001720231,0.001014501,0.0001431054,0.003718839,0.00006931934],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972092,0.000007353817,0.00005708649,0.00212664,0.00003299967,0.0004161461,0.00005487244,0.000003409609,0.00009232896],"genre_scores_gemma":[0.9966867,0.0001247393,0.002672136,0.000298336,0.000004517183,0.00006684678,0.00003252585,0.000003937007,0.0001102943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6079666,"threshold_uncertainty_score":0.9311072,"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."}}