{"id":"W2555058834","doi":"10.1079/dmpd/20066500133","title":"<i>Xanthomonas arboricola pv. juglandis</i> . [Distribution map].","year":2006,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Plant Pathogenic Bacteria Studies","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Juglans; Distribution (mathematics); China; Environmental protection; Archaeology; Biology; Botany","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002671329,0.002158238,0.0009517174,0.006963054,0.0007287959,0.001324791,0.001476656,0.0006347483,0.1529614],"category_scores_gemma":[0.0009433078,0.0005991371,0.0005720162,0.01770835,0.0003779413,0.001101623,0.0008833779,0.00116282,0.09797982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007760434,"about_ca_system_score_gemma":0.001188522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03687273,"about_ca_topic_score_gemma":0.02121454,"domain_scores_codex":[0.9997388,0.00002512162,0.00002320757,0.00007148531,0.00007637605,0.00006496507],"domain_scores_gemma":[0.9992676,0.00009771346,0.0002303958,0.00004144683,0.0002662117,0.00009656761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002276639,0.00007232761,0.004213515,0.003642758,0.00004876186,0.0002957605,0.000265905,0.0005104778,0.003937625,0.0009077251,0.9251868,0.06069062],"study_design_scores_gemma":[0.0001086577,0.00004363592,0.03165771,0.0003769464,0.00002314932,0.0002333257,0.0001310636,0.000256872,0.0003623036,0.0003809949,0.9664007,0.00002466518],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001485812,0.001119177,0.0007107649,0.0003812455,0.0002820008,0.0002590365,0.9647142,0.000907864,0.03013983],"genre_scores_gemma":[0.004156138,0.001160104,0.001953349,0.0001625158,0.00007454463,0.0002465049,0.9830326,0.0001504098,0.009063753],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1529614,"threshold_uncertainty_score":0.5117068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009237572367827842,"score_gpt":0.1903405644555428,"score_spread":0.181102992087715,"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."}}