{"id":"W4387105866","doi":"10.1080/07060661.2023.2261890","title":"Biosurveillance of oak wilt disease in Canadian areas at risk","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Plant Pathology","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; Natural Resources Canada; Ontario Forest Research Institute; Canadian Food Inspection Agency; Canadian Forest Service","funders":"Natural Resources Canada; Canadian Food Inspection Agency","keywords":"Limiting; Wilt disease; Biology; Diagnostic test; Disease control; Invasive species; Geography; Ecology; Forestry; Veterinary medicine; Horticulture; Medicine; Biotechnology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0005826697,0.0002882479,0.00018018,0.001111182,0.001819672,0.0007338295,0.0005618409,0.0002766729,0.001687763],"category_scores_gemma":[0.001488558,0.0001393805,0.0002162929,0.0008610389,0.0003223135,0.0002971038,0.0005610083,0.0004654027,0.0001815484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01630075,"about_ca_system_score_gemma":0.02078172,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9893595,"about_ca_topic_score_gemma":0.9962297,"domain_scores_codex":[0.9994831,0.00004173042,0.00001710928,0.00006449713,0.0002229923,0.0001704893],"domain_scores_gemma":[0.9985805,0.00005052418,0.0001665757,0.00002394194,0.0009332572,0.0002452302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001878327,0.0000820197,0.9126022,0.0002412234,0.00006411246,0.0005587317,0.002471247,0.0008346991,0.009836097,0.0005624196,0.01221713,0.06034222],"study_design_scores_gemma":[0.00001361043,0.00007834614,0.9727693,0.0001710566,0.00004748291,0.0003000372,0.003766442,0.001641362,0.001612141,0.000107114,0.01944888,0.00004417115],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691609,0.003040525,0.001843576,0.002328356,0.00006755619,0.0002694343,0.004582851,0.000116417,0.0185904],"genre_scores_gemma":[0.9889797,0.001849274,0.003410309,0.0004972742,0.00001744314,0.00004734697,0.001801094,0.00001287704,0.003384659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01630075,"threshold_uncertainty_score":0.1182708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006477703637573063,"score_gpt":0.1864512157405555,"score_spread":0.1799735121029825,"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."}}