{"id":"W4220655772","doi":"10.1016/j.scitotenv.2022.153404","title":"Biological invasion costs reveal insufficient proactive management worldwide","year":2022,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":242,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Siberian Branch, Russian Academy of Sciences; Russian Science Foundation; Centre National de la Recherche Scientifique; AXA Research Fund; Austrian Science Fund; Agence Nationale de la Recherche; European Commission; Leverhulme Trust; Biodiversa+; Kuwait Foundation for the Advancement of Sciences; Alexander von Humboldt-Stiftung","keywords":"Business; Environmental planning; Environmental resource management; Natural resource economics; Risk analysis (engineering); Geography; Economics","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001726773,0.0001467443,0.0001201244,0.00004808653,0.001433676,0.00001465897,0.001596036,0.00001951882,0.002565306],"category_scores_gemma":[0.00002785846,0.0000819167,0.00008975637,0.0006323977,0.00257143,0.0001046037,0.006573066,0.0002411424,0.0002134455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113239,"about_ca_system_score_gemma":0.00001313248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008065009,"about_ca_topic_score_gemma":0.000002343887,"domain_scores_codex":[0.9976516,0.0002103168,0.0002391626,0.0004592157,0.001022342,0.0004174154],"domain_scores_gemma":[0.9989691,0.00005108998,0.0001779471,0.0007343144,0.000002019297,0.00006554371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002810278,0.002189822,0.002151575,0.00001105334,0.00009105108,0.00002078151,0.002444595,0.8732226,0.07525983,0.01758603,0.005597186,0.02114441],"study_design_scores_gemma":[0.0005574439,0.0007761649,0.9741367,0.00001322663,0.00006962466,0.00005782048,0.001937656,0.003428436,0.01038778,0.00354693,0.00469661,0.0003916581],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737778,0.00002072875,0.00002416353,0.001143635,0.0003457538,0.001013818,0.000006528592,0.00001592441,0.02365163],"genre_scores_gemma":[0.9952259,0.00001788495,0.0003014167,0.0002072759,0.000008620921,0.0001967189,0.000001022535,0.000006488185,0.004034691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.971985,"threshold_uncertainty_score":0.9998663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01163111832088204,"score_gpt":0.2004869336511484,"score_spread":0.1888558153302664,"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."}}