{"id":"W4389789898","doi":"10.1002/ecs2.4711","title":"Identifying invasive species threats, pathways, and impacts to improve biosecurity","year":2023,"lang":"en","type":"article","venue":"Ecosphere","topic":"Marine Ecology and Invasive Species","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"U.S. Fish and Wildlife Service; University of Florida; Florida Fish and Wildlife Conservation Commission","keywords":"Invasive species; Biosecurity; Introduced species; Biology; Ecology; Taxon; Endangered species; Wildlife; Geography; Environmental planning; Fishery; Environmental resource management; Habitat; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.005245501,0.001008326,0.0003591031,0.004122392,0.001003513,0.002432513,0.001106295,0.0007135328,0.007941239],"category_scores_gemma":[0.01030561,0.0003624625,0.0007309637,0.001253483,0.0005776957,0.003733261,0.003207382,0.001191764,0.001004535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001289177,"about_ca_system_score_gemma":0.00371347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007526992,"about_ca_topic_score_gemma":0.02090748,"domain_scores_codex":[0.9981231,0.0006824628,0.0001568499,0.00020064,0.0006117925,0.0002251524],"domain_scores_gemma":[0.9900595,0.002421201,0.002691931,0.0005868232,0.003297807,0.0009427686],"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":[0.0001884703,0.0004099387,0.4601735,0.001469603,0.0001979221,0.0004093043,0.002712455,0.009950422,0.01425899,0.003461368,0.01583999,0.4909281],"study_design_scores_gemma":[0.00007306016,0.001501114,0.7728226,0.003913205,0.0005025733,0.001233298,0.0226236,0.05981737,0.01558133,0.04724694,0.07438561,0.000299266],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7283832,0.006510612,0.1707388,0.01446621,0.0003031464,0.002855646,0.004599303,0.002188708,0.06995439],"genre_scores_gemma":[0.7405243,0.002871692,0.2478858,0.001283959,0.00007119236,0.0006796867,0.00175763,0.000106013,0.004819834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007941239,"threshold_uncertainty_score":0.02774119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0253982175075776,"score_gpt":0.2394194304069444,"score_spread":0.2140212128993668,"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."}}