{"id":"W4322730804","doi":"10.1093/biosci/biac108","title":"Approaches to Forecasting Damage by Invasive Forest Insects and Pathogens: A Cross-Assessment","year":2023,"lang":"en","type":"article","venue":"BioScience","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of Pretoria; Horizon 2020 Framework Programme; Colgate University; National Research Foundation; European Commission; University of Wisconsin-Madison","keywords":"Invasive species; Ecosystem; Ecosystem services; Ecology; Environmental resource management; Biology; Introduced species; Identification (biology); Risk analysis (engineering); Computer science; Environmental science; Business","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":[0.01288165,0.001416306,0.000894354,0.003061476,0.0005282694,0.002276653,0.00136994,0.00170204,0.001583328],"category_scores_gemma":[0.01635841,0.0005965167,0.001498101,0.0008140455,0.0006839067,0.00258369,0.002606745,0.001077546,0.0001645324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00203875,"about_ca_system_score_gemma":0.001198121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01330118,"about_ca_topic_score_gemma":0.01179111,"domain_scores_codex":[0.9974947,0.001458467,0.0001820317,0.000381278,0.000375537,0.0001080441],"domain_scores_gemma":[0.9876753,0.008777429,0.001155001,0.0004422659,0.001625221,0.0003247772],"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":[0.0002165271,0.0004172813,0.07567257,0.0001238486,0.0007198143,0.0001338452,0.0001966745,0.863459,0.00168916,0.001699709,0.0003114437,0.05536011],"study_design_scores_gemma":[0.00001539107,0.0002912194,0.009204287,0.00003276902,0.00007807149,0.00003409107,0.0001042271,0.9880284,0.0003746191,0.001634617,0.0001763748,0.00002599519],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8093247,0.001964449,0.181865,0.001069359,0.00005008594,0.0003855104,0.0003636954,0.0002046019,0.004772543],"genre_scores_gemma":[0.9486681,0.0004422748,0.04962295,0.00009523045,0.00003040197,0.0001170102,0.000226622,0.00001410168,0.0007833194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01330118,"threshold_uncertainty_score":0.06812549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09058915320000828,"score_gpt":0.2597917953649427,"score_spread":0.1692026421649344,"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."}}