{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000204425,0.0001681081,0.0002068078,0.00002412909,0.0005569251,0.00006905945,0.0002738193,0.0001786565,0.0003211812],"category_scores_gemma":[0.0001164499,0.00006235507,0.0001117628,0.0003663101,0.0002361168,0.00005552879,0.0001667928,0.00009452417,0.0000655977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005491174,"about_ca_system_score_gemma":0.000005387015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005058011,"about_ca_topic_score_gemma":0.0002508789,"domain_scores_codex":[0.9987233,0.00005733821,0.0003198232,0.0004659352,0.00007833794,0.0003553019],"domain_scores_gemma":[0.9985782,0.001058402,0.0001024949,0.0000778614,0.00008027742,0.0001027957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001865125,0.0003876952,0.002275648,0.000005630808,0.00001469917,7.777564e-7,0.000001485821,0.000001511038,0.01409455,0.8618681,0.008279069,0.1130521],"study_design_scores_gemma":[0.0001620405,0.0001803195,0.2770865,0.000002564347,0.000008263934,0.000003202136,0.00003277403,0.00000781535,0.0001082134,0.1293049,0.5929597,0.0001436673],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5673724,0.001543596,0.005974879,0.3460062,0.0001811156,0.01159602,0.001348756,0.001402876,0.06457417],"genre_scores_gemma":[0.9782171,0.0007048763,0.01155155,0.002863906,0.0007899473,0.004254855,0.000588503,0.000001505428,0.001027737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7325633,"threshold_uncertainty_score":0.4283474,"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."}}