{"id":"W2618444800","doi":"10.1079/dmpd/20093245828","title":"<i>Pseudomonas syringae</i> pv. <i>mori</i> . [Distribution map].","year":2009,"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; Mainland China; Distribution (mathematics); Tamil; China; Tanzania; Mainland; Socioeconomics; 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":[0.0001468983,0.001002868,0.0005057171,0.004341327,0.0004402288,0.0006677299,0.0007231654,0.000385786,0.07528103],"category_scores_gemma":[0.0006301702,0.0003156652,0.000312017,0.009298409,0.0002522423,0.0005561572,0.0003539316,0.0007382864,0.03631133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006907748,"about_ca_system_score_gemma":0.0008770257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02687674,"about_ca_topic_score_gemma":0.01269508,"domain_scores_codex":[0.9998791,0.00001502897,0.000009590652,0.00002839763,0.00003401618,0.00003388221],"domain_scores_gemma":[0.999587,0.00006834556,0.0001237629,0.00001710258,0.0001378048,0.00006605215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006312717,0.0001487641,0.008271533,0.006730618,0.0000624558,0.0007309602,0.0005545042,0.000788718,0.01871099,0.002621546,0.8017359,0.1590126],"study_design_scores_gemma":[0.00009806905,0.00006138555,0.05537549,0.0003754702,0.00002259138,0.0003887844,0.0001678488,0.0002838404,0.0008847807,0.000360314,0.9419615,0.000019889],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01043244,0.003026678,0.003068429,0.001225524,0.0005701073,0.0006312116,0.8954971,0.001658504,0.08388992],"genre_scores_gemma":[0.01922314,0.002710561,0.006021549,0.000267188,0.0001114801,0.000304542,0.9527311,0.0002008972,0.01842942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07528103,"threshold_uncertainty_score":0.2518401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01225954033960024,"score_gpt":0.2013880553284837,"score_spread":0.1891285149888834,"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."}}