{"id":"W4241025384","doi":"10.1079/dmpd/20046500495","title":"<i>Pseudomonas andropogonis</i> . [Distribution map].","year":2008,"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; Distribution (mathematics); China; Sorghum; Agroforestry; Forestry; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001118364,0.0009779377,0.0003474856,0.003608878,0.0003872156,0.0005464277,0.0006324035,0.0002879337,0.08174536],"category_scores_gemma":[0.0004617865,0.000257068,0.00021716,0.006794638,0.0001831953,0.0004320776,0.0003569739,0.0004550469,0.02944755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005363183,"about_ca_system_score_gemma":0.0009104863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04746955,"about_ca_topic_score_gemma":0.03118839,"domain_scores_codex":[0.9998995,0.00001256167,0.000007388121,0.00002064145,0.00003218928,0.0000277355],"domain_scores_gemma":[0.999626,0.00004908574,0.00009932135,0.00001359498,0.0001581835,0.00005388392],"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":[0.000232018,0.00006250961,0.006544907,0.003393443,0.00002783007,0.0004329978,0.0003037434,0.0005766624,0.005625707,0.001190678,0.8748838,0.1067258],"study_design_scores_gemma":[0.00006260658,0.00003901269,0.05611156,0.0002380507,0.00001242107,0.0003291489,0.0001639375,0.00028319,0.000525041,0.0002498679,0.9419692,0.00001582542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008651495,0.002217013,0.001826578,0.001215354,0.0004235032,0.0006913645,0.8736951,0.001669335,0.1096102],"genre_scores_gemma":[0.02163549,0.002462599,0.006667698,0.0003453518,0.0001270553,0.0005067621,0.9331773,0.0002012273,0.03487647],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08174536,"threshold_uncertainty_score":0.2734655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0170325292465896,"score_gpt":0.1991583566416821,"score_spread":0.1821258273950925,"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."}}