{"id":"W4250037168","doi":"10.1079/dmpd/20153159074","title":"<i>Xanthomonas arboricola</i> pv. <i>pruni</i> . [Distribution map].","year":2015,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Plant Pathogenic Bacteria Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Montenegro; China; Environmental protection; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002230308,0.0002457997,0.0003575513,0.000008882434,0.0001750258,0.00004694319,0.0003035509,0.0001077895,0.00005081576],"category_scores_gemma":[0.0002574772,0.000116444,0.0001607289,0.0003255398,0.0001327136,0.0001959841,0.0001337858,0.00009526445,0.00007130487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009470456,"about_ca_system_score_gemma":0.00004435237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001017577,"about_ca_topic_score_gemma":0.00006012599,"domain_scores_codex":[0.9982666,0.0001213541,0.0004013862,0.000357104,0.0004447618,0.0004087623],"domain_scores_gemma":[0.9989061,0.0001812655,0.0002429333,0.0001081448,0.0002314025,0.0003301963],"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":[0.0003864184,0.0004850086,0.02354346,0.00003498716,0.00005525443,0.00004281941,0.00001956887,0.000006588355,0.02816451,0.001632896,0.9438805,0.001747961],"study_design_scores_gemma":[0.0004410106,0.0002160832,0.03955596,0.00005626467,0.0001043005,0.00002349617,0.0003163621,0.00003039273,0.003451756,0.0007728313,0.9546831,0.0003484941],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2013695,0.001268718,0.0000547508,0.0007676785,0.0004109569,0.0002810147,0.7956458,0.0001551273,0.00004640213],"genre_scores_gemma":[0.4990549,0.0001488172,0.00001424803,0.00008606222,0.0002609554,0.00003681318,0.5003406,0.00000142243,0.00005620666],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2976854,"threshold_uncertainty_score":0.474845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.021897093285546,"score_gpt":0.2109650814812319,"score_spread":0.1890679881956859,"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."}}