{"id":"W4234356450","doi":"10.1079/dmpd/20056500456","title":"<i>Erwinia trachelphila</i> . [Distribution map].","year":2005,"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":"Cucumis; Cucurbitaceae; Distribution (mathematics); China; Geography; Biology; Botany; 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":[0.0001845701,0.00160253,0.0007767273,0.005057243,0.0005328231,0.0009157904,0.001159083,0.0006048857,0.1440498],"category_scores_gemma":[0.0006854548,0.000478847,0.000379682,0.0103865,0.000343855,0.001005924,0.0006225458,0.0009375942,0.08988818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000734925,"about_ca_system_score_gemma":0.0008833611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03134376,"about_ca_topic_score_gemma":0.01998137,"domain_scores_codex":[0.9998473,0.00001581644,0.0000145942,0.00003793074,0.00004799039,0.00003632544],"domain_scores_gemma":[0.9995255,0.00006663406,0.0001363033,0.00002409072,0.0001680182,0.0000794228],"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":[0.0002280877,0.00004804793,0.002423391,0.003251044,0.00003192899,0.0002932721,0.0001997599,0.0003777432,0.003895754,0.0009693704,0.9136663,0.07461529],"study_design_scores_gemma":[0.0000506064,0.00001979958,0.01716002,0.0001826668,0.00001156663,0.0001369214,0.00006244286,0.0001237801,0.0002515554,0.0002190973,0.9817694,0.00001200391],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002846303,0.00269129,0.001753482,0.001451564,0.0009157858,0.0005225565,0.9043648,0.001772064,0.0836822],"genre_scores_gemma":[0.008040735,0.00299601,0.004839048,0.0003981589,0.00020735,0.0003736104,0.9556655,0.0002649227,0.02721472],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1440498,"threshold_uncertainty_score":0.4818945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456621973116212,"score_gpt":0.2054596695140379,"score_spread":0.1908934497828758,"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."}}