{"id":"W4205658369","doi":"10.1016/j.scitotenv.2022.152948","title":"Geographic and taxonomic trends of rising biological invasion costs","year":2022,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"AXA Research Fund; Agence Nationale de la Recherche; Biodiversa+; Alexander von Humboldt-Stiftung","keywords":"Taxon; Generality; Taxonomic rank; Ecology; Biology; Opportunity cost; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007774179,0.0001253722,0.0001868969,0.001943682,0.0003904056,0.0009837253,0.0004446802,0.0004915904,0.007627585],"category_scores_gemma":[0.004107494,0.0001736166,0.0002577853,0.002698969,0.001125906,0.001055176,0.0006088107,0.0005790333,0.0005435701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003961752,"about_ca_system_score_gemma":0.0002834628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007867069,"about_ca_topic_score_gemma":0.01751867,"domain_scores_codex":[0.999644,0.00007395654,0.00003242374,0.0001092323,0.0000732773,0.00006703167],"domain_scores_gemma":[0.9933175,0.001273122,0.003431081,0.000449183,0.001166878,0.0003622108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004431975,0.00002744593,0.9576095,0.0001206685,0.0001758725,0.0001209273,0.002176435,0.0006038644,0.005402694,0.003881591,0.0007477856,0.02869012],"study_design_scores_gemma":[0.000003241734,0.00002102117,0.997831,0.0000080347,0.00001482515,0.0001127416,0.0006806147,0.0001434132,0.00006108722,0.0003084932,0.0008121856,0.000003315727],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934703,0.002025238,0.0001764568,0.0006008898,0.000007920858,0.000001857823,0.0003216517,0.0000122207,0.00338346],"genre_scores_gemma":[0.9987832,0.0004603814,0.0001185625,0.00004096645,0.00001357198,0.000001101566,0.0001585936,0.000003799949,0.0004198662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007867069,"threshold_uncertainty_score":0.02551681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03582704426601072,"score_gpt":0.1833609522841151,"score_spread":0.1475339080181044,"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."}}