{"id":"W2007900882","doi":"10.1890/1051-0761(2006)016[2035:birfup]2.0.co;2","title":"BIOLOGICAL INVASIONS: RECOMMENDATIONS FOR U.S. POLICY AND MANAGEMENT","year":2006,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Biological Control of Invasive Species","field":"Agricultural and Biological Sciences","cited_by":954,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"National Oceanic and Atmospheric Administration","keywords":"Incentive; Damages; Business; Government (linguistics); Invasive species; Harm; Introduced species; Ecology; Environmental resource management; Environmental planning; Natural resource economics; Public economics; Biology; Economics; Geography; Political 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":[0.01503804,0.004356542,0.001820535,0.007507336,0.004695467,0.00978437,0.008178065,0.0299165,0.05162361],"category_scores_gemma":[0.02711861,0.001959521,0.00390918,0.006803197,0.003310625,0.01036432,0.005096314,0.01413397,0.03745752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007880184,"about_ca_system_score_gemma":0.07950606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1159972,"about_ca_topic_score_gemma":0.1188207,"domain_scores_codex":[0.9906675,0.002347234,0.001046625,0.0004680543,0.003799281,0.001671271],"domain_scores_gemma":[0.9687834,0.005073324,0.001327807,0.001106931,0.01979445,0.003914165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001900708,0.0002439498,0.0004306013,0.0002477194,0.000009119351,0.0001246173,0.000166532,0.0003330988,0.0001288428,0.005586999,0.9627718,0.02993763],"study_design_scores_gemma":[0.00004864331,0.0000398707,0.001268596,0.001719563,0.00003660395,0.00007223438,0.0009590213,0.0003439451,0.0001843487,0.009825526,0.9854383,0.00006322618],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001496349,0.02595254,0.008076085,0.5880309,0.04157001,0.00424818,0.01495015,0.004807999,0.3108678],"genre_scores_gemma":[0.01325914,0.04211995,0.1255156,0.3525776,0.00634853,0.01389281,0.0193399,0.001203314,0.4257431],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1159972,"threshold_uncertainty_score":0.230644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06721188431799657,"score_gpt":0.260994897720977,"score_spread":0.1937830134029804,"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."}}