{"id":"W2010125704","doi":"10.1080/07060660409507151","title":"Climate change and plant diseases in Ontario","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Plant Pathology","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":201,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Canadian Forest Service; University of Guelph","funders":"","keywords":"Agriculture; Abiotic component; Climate change; Agroforestry; Adaptation (eye); Geography; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001536239,0.00009078032,0.0002012477,0.00005700262,0.00009244454,0.00002316535,0.0001157744,0.00008218984,0.00006711697],"category_scores_gemma":[0.00001404939,0.00003701983,0.00003910589,0.00006721207,0.00004527592,0.00007332885,0.000009915517,0.0001612031,0.000003326727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008605303,"about_ca_system_score_gemma":0.0001003247,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03399191,"about_ca_topic_score_gemma":0.9857606,"domain_scores_codex":[0.9992666,0.00003511387,0.0001979907,0.0001146093,0.00006142513,0.0003242579],"domain_scores_gemma":[0.9994851,0.00003234025,0.00009997127,0.00002149377,0.0000180376,0.0003430792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003110681,0.0001532553,0.733155,0.00003224112,0.00002750141,0.09894822,0.002370131,0.0000292596,0.13587,0.01052715,0.0004763254,0.01809994],"study_design_scores_gemma":[0.0003017056,0.0003140028,0.9850344,0.0001223312,0.00001296451,0.004393239,0.0001856478,0.000001206372,0.0001270414,0.001191955,0.008186173,0.0001293495],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961034,0.0009599467,8.777284e-7,0.0005178886,0.0002567533,0.00006939212,0.002017542,0.000002811027,0.00007140025],"genre_scores_gemma":[0.9991547,0.0002665404,0.00005598658,0.000308077,0.0001162565,0.000002419697,0.00008385324,6.537861e-7,0.00001147946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9517687,"threshold_uncertainty_score":0.9724408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02683849643715874,"score_gpt":0.1754971564245444,"score_spread":0.1486586599873856,"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."}}