{"id":"W2571951239","doi":"10.1079/dmpd/20066500958","title":"<i>Erysiphe orontii</i> . [Distribution map].","year":2006,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Powdery Mildew Fungal Diseases","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Distribution (mathematics); 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":[0.00009028414,0.0002316369,0.0002742042,0.000008376932,0.0002119759,0.0000574141,0.0002816259,0.00009376441,0.0004833929],"category_scores_gemma":[0.00009907203,0.00011074,0.0002481685,0.0002850368,0.0001311916,0.0002230905,0.00007012401,0.00007216659,0.000084538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007502035,"about_ca_system_score_gemma":0.00002598791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006070948,"about_ca_topic_score_gemma":0.0001716441,"domain_scores_codex":[0.9983165,0.00009456703,0.0004032831,0.0003584553,0.0004160106,0.0004112103],"domain_scores_gemma":[0.9991789,0.0001795634,0.0002052379,0.0001097047,0.0001402325,0.0001863861],"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":[0.0001493356,0.0005487903,0.03883095,0.00003490773,0.00001798292,0.00001581907,0.000001313541,0.00001712329,0.00925131,0.003170512,0.9464408,0.001521147],"study_design_scores_gemma":[0.0002805748,0.0001090783,0.2699447,0.00005708754,0.0001034598,0.00000630142,0.00007163588,0.00006372066,0.003349495,0.00294094,0.7227323,0.000340665],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1650751,0.001489202,0.00008955829,0.0004548948,0.0001858795,0.0002695509,0.8321682,0.0001892075,0.00007838203],"genre_scores_gemma":[0.5464411,0.00002810451,0.000004315098,0.0000426431,0.0001974415,0.00002047154,0.453178,9.88329e-7,0.00008692448],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.381366,"threshold_uncertainty_score":0.5292814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008717027394256291,"score_gpt":0.191742216883624,"score_spread":0.1830251894893677,"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."}}