{"id":"W4234716937","doi":"10.1079/dmpd/20056500450","title":"<i>Didymella bryoniae</i> . [Distribution map].","year":2005,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Plant Diversity and Evolution","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Tanzania; Distribution (mathematics); Socioeconomics","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":[0.0001004734,0.0001433672,0.0001796497,0.00000723213,0.0002339487,0.00003135493,0.000208241,0.00009541822,0.0003257982],"category_scores_gemma":[0.00005637261,0.00007249573,0.000144613,0.0001853625,0.00008153055,0.0002281501,0.00005864012,0.00007504093,0.0001913785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007482516,"about_ca_system_score_gemma":0.00001362348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001258339,"about_ca_topic_score_gemma":0.0001112563,"domain_scores_codex":[0.998902,0.00005434734,0.0002311481,0.0002371914,0.0002870155,0.0002883034],"domain_scores_gemma":[0.9994569,0.0001037056,0.0001338732,0.00005893508,0.00008782184,0.0001587507],"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":[0.0001887699,0.0003232546,0.01444644,0.0000233075,0.00002143071,0.0000072274,0.000008231208,0.00004600306,0.005950946,0.002268388,0.9712756,0.005440445],"study_design_scores_gemma":[0.0002107827,0.00007201899,0.03043447,0.00003418593,0.0000525929,0.000009889123,0.00007790595,0.0001850277,0.001977397,0.0003137772,0.9664365,0.0001954533],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2340907,0.0004634289,0.00008139476,0.001204649,0.0001432845,0.0001493734,0.7637128,0.0001161336,0.0000382617],"genre_scores_gemma":[0.5609017,0.00008852987,0.000007792064,0.0000634686,0.0002078613,0.000003936897,0.4386489,4.145101e-7,0.00007737374],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.326811,"threshold_uncertainty_score":0.3567262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116244434858747,"score_gpt":0.1861917823540929,"score_spread":0.1745673388682182,"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."}}