{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005447472,0.0001250414,0.00009662744,0.00006648232,0.0004138387,0.00009138152,0.0003243358,0.00004788161,0.00008274127],"category_scores_gemma":[0.0001477008,0.0001113254,0.00002085356,0.0008127414,0.0004278502,0.0002666584,0.0008766912,0.00007274995,0.0002569056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009037527,"about_ca_system_score_gemma":0.00001741927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001260314,"about_ca_topic_score_gemma":0.0006996362,"domain_scores_codex":[0.9986618,0.00003301677,0.0001388241,0.0004948848,0.0002419326,0.0004295879],"domain_scores_gemma":[0.9994925,0.00008810013,0.00005054846,0.0002137007,0.000003720067,0.0001514922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001217649,0.00009968431,0.9206862,0.00003734777,0.000005540896,0.00007005739,0.001208525,0.004773664,0.05555747,0.003599362,0.008237958,0.005712004],"study_design_scores_gemma":[0.0001520641,0.000171074,0.9863315,0.00001207534,0.000003797457,0.000006547494,0.0001870686,0.008870762,0.0007950676,0.001118454,0.002174539,0.0001770446],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940001,0.000008176172,0.0006272058,0.0003003663,0.0001392481,0.0003891953,0.00001218279,0.00007804947,0.004445495],"genre_scores_gemma":[0.995716,0.00001175393,0.002444745,0.0006362585,0.000011523,0.000100605,0.000006187795,0.000008418565,0.001064482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0656453,"threshold_uncertainty_score":0.4539719,"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."}}