{"id":"W4252799481","doi":"10.1079/dmpd/20056500014","title":"<i>Pseudoperonospora humuli</i> . [Distribution map].","year":2005,"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); Humulus lupulus; China; Environmental protection; Hop (telecommunications); Forestry; 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":[0.0001057469,0.0002406735,0.0002787436,0.000008988398,0.0002136795,0.00005160303,0.0003331531,0.00009626454,0.0008283537],"category_scores_gemma":[0.0001406235,0.0001164105,0.0002346568,0.0002600744,0.0001291992,0.0003140882,0.00007999731,0.00009061963,0.0002011746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009034252,"about_ca_system_score_gemma":0.00003034763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008785849,"about_ca_topic_score_gemma":0.00005428449,"domain_scores_codex":[0.9983146,0.00008550149,0.0004127906,0.0003798126,0.0003921773,0.0004151835],"domain_scores_gemma":[0.9990758,0.0001594172,0.0001960128,0.0001207553,0.0001342714,0.0003137342],"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":[0.0002458007,0.0007087565,0.02312359,0.00003517188,0.00003256938,0.00001074348,0.000007434505,0.00003335506,0.007378952,0.0024006,0.9557901,0.01023291],"study_design_scores_gemma":[0.0002975828,0.0001297842,0.08467209,0.00005739769,0.00008627649,0.000006300451,0.0001114913,0.0001362774,0.00414545,0.0004202311,0.9096006,0.0003365551],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2070728,0.001395359,0.00004589204,0.001222402,0.0001360617,0.0002941703,0.7895848,0.0001899651,0.00005858436],"genre_scores_gemma":[0.6247448,0.00006906776,0.000009666145,0.0001265598,0.0002625686,0.00001991425,0.3747063,0.000001125849,0.00005994242],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.417672,"threshold_uncertainty_score":0.9069892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01313490638231837,"score_gpt":0.2091597960275446,"score_spread":0.1960248896452262,"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."}}