{"id":"W4327697611","doi":"10.22541/au.167907497.77590504/v1","title":"Recent advances in availability and synthesis of the economic costs of biological invasions","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Natural Resources Canada; Canadian Forest Service","funders":"Bundesministerium für Bildung und Forschung; AXA Research Fund; Agence Nationale de la Recherche; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Leverhulme Trust; Azim Premji University; European Commission; Biodiversa+; Australian Research Council; Alexander von Humboldt-Stiftung","keywords":"Multidisciplinary approach; Legislature; Data science; Economic cost; Identification (biology); Business; Computer science; Political science; Ecology; Economics; Biology","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":[0.02220414,0.001436451,0.002378265,0.01718637,0.0009282376,0.01034894,0.002127769,0.001929529,0.0111113],"category_scores_gemma":[0.1201828,0.0007910844,0.001366971,0.02205363,0.004316145,0.01178898,0.004187247,0.003289197,0.0009646143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005784729,"about_ca_system_score_gemma":0.003900567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004256009,"about_ca_topic_score_gemma":0.003199768,"domain_scores_codex":[0.9877498,0.004784503,0.001545922,0.001700058,0.003963806,0.0002560052],"domain_scores_gemma":[0.8330688,0.1325295,0.0125033,0.009036656,0.01199361,0.0008681751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000310334,0.00006714356,0.004967035,0.01261147,0.0005631059,0.0001455489,0.001307083,0.01227658,0.0006459049,0.3179367,0.01461183,0.6345572],"study_design_scores_gemma":[0.00002489484,0.00007694149,0.01532355,0.01045506,0.0004327033,0.0004738386,0.001649737,0.007916415,0.001376564,0.5282397,0.4338504,0.0001802299],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02834878,0.74068,0.1179764,0.04347177,0.004280915,0.0000767653,0.00501598,0.0003353777,0.05981416],"genre_scores_gemma":[0.253805,0.6354269,0.08862419,0.003187245,0.008819046,0.000308331,0.004658091,0.0005994935,0.004571669],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02220414,"threshold_uncertainty_score":0.1174281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04402032752947982,"score_gpt":0.2512098179966804,"score_spread":0.2071894904672005,"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."}}