{"id":"W4388097501","doi":"10.3390/f14112151","title":"Ash Dieback in Forests and Rural Areas—History and Predictions","year":2023,"lang":"en","type":"article","venue":"Forests","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Fraxinus; Emerald ash borer; Biology; Geography; Ecology; Agroforestry","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":[0.0005104306,0.0003276005,0.0001756833,0.001158432,0.0003072585,0.0008379918,0.0005011363,0.0006141104,0.004624833],"category_scores_gemma":[0.001428726,0.0001125725,0.0002497025,0.001417024,0.0005323602,0.001190383,0.000585603,0.000755184,0.0005426924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001054606,"about_ca_system_score_gemma":0.0004285811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01878164,"about_ca_topic_score_gemma":0.02909685,"domain_scores_codex":[0.9998498,0.00004016554,0.00001214205,0.00003094552,0.00002498592,0.00004186849],"domain_scores_gemma":[0.999209,0.0001566914,0.0002551408,0.00002280611,0.0001237367,0.0002326527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001077628,0.0001775417,0.9049129,0.0002289555,0.00007585544,0.0007318771,0.000363265,0.003225932,0.0001945247,0.004311915,0.008861086,0.07680848],"study_design_scores_gemma":[0.000008879279,0.0001529497,0.9608546,0.0003779691,0.00006464827,0.001003557,0.004050481,0.007888637,0.0001629886,0.008040729,0.01736319,0.00003134443],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.8766953,0.0440405,0.003110844,0.0303766,0.0006390053,0.00008505231,0.009897849,0.0001113546,0.03504353],"genre_scores_gemma":[0.9831042,0.01293759,0.0003039626,0.0005694745,0.0002726496,0.00001728517,0.001196363,0.000006697282,0.001591916],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01878164,"threshold_uncertainty_score":0.03734463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008690859202544619,"score_gpt":0.2078973592213117,"score_spread":0.1992065000187671,"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."}}