{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001498184,0.00008412448,0.00008197808,0.00007215755,0.00007648342,0.000007613307,0.00007476434,0.00005724682,0.0004294649],"category_scores_gemma":[0.00003013975,0.0000809192,0.00001469631,0.0001523601,0.0002428991,0.000146361,0.0002443165,0.00008276197,0.0003376736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001240346,"about_ca_system_score_gemma":0.000005107034,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003808704,"about_ca_topic_score_gemma":0.05673441,"domain_scores_codex":[0.9993652,0.00002206688,0.0001045187,0.0001831747,0.00009139044,0.0002336406],"domain_scores_gemma":[0.999742,0.00003770552,0.00002438994,0.0001218812,0.000001620072,0.00007241335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000011502,0.00002167348,0.9566803,0.000009108797,0.000004736137,0.00002384365,0.0003777631,0.0006365632,0.00002462317,0.0008394455,0.0402702,0.001100224],"study_design_scores_gemma":[0.000290048,0.00006645001,0.9783677,0.000009577725,0.000005620038,0.000008720463,0.00005280643,0.002885683,0.000002317605,0.004713588,0.01351464,0.00008284205],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926577,0.0000814446,0.00002153687,0.0001605659,0.0002113476,0.000197842,0.000003407167,0.00007226705,0.00659388],"genre_scores_gemma":[0.9958309,0.00008368937,0.00003726129,0.0001010795,0.0000179986,0.00005792216,0.00001211527,0.000008201118,0.003850846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05635353,"threshold_uncertainty_score":0.9604777,"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."}}