{"id":"W4247968537","doi":"10.1079/dmpd/20063115675","title":"<i>Erysiphe necator</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; Montenegro; Sierra leone; Environmental protection; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001750066,0.001601512,0.000635846,0.004160936,0.0004786211,0.0009356256,0.001126198,0.0005684491,0.2430848],"category_scores_gemma":[0.0005460891,0.0004234197,0.0004028322,0.009222258,0.0002638034,0.00101369,0.0008328537,0.0008542915,0.1409664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005262069,"about_ca_system_score_gemma":0.0007137933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0267504,"about_ca_topic_score_gemma":0.01888769,"domain_scores_codex":[0.9998361,0.00001415129,0.00001448492,0.00004895784,0.00004129747,0.00004497181],"domain_scores_gemma":[0.9995301,0.00006483912,0.0001161403,0.00002735504,0.0001968825,0.00006475904],"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":[0.000100359,0.00002420009,0.001605688,0.001281269,0.00001628024,0.0001347609,0.0001021888,0.000266976,0.001074259,0.0003515239,0.9590235,0.03601898],"study_design_scores_gemma":[0.0000676476,0.00002165391,0.01602167,0.000227608,0.00001006042,0.0001993555,0.0001181037,0.0001739968,0.0002312951,0.0002226786,0.9826912,0.00001462304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001391975,0.0008000462,0.0006528825,0.0003149875,0.0003545352,0.000279568,0.9356759,0.00102601,0.05950416],"genre_scores_gemma":[0.005662773,0.001112961,0.002949103,0.0002503385,0.0001067415,0.0004459292,0.9603593,0.0002758718,0.02883697],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2430848,"threshold_uncertainty_score":0.8131998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008904763742672593,"score_gpt":0.1928397204946439,"score_spread":0.1839349567519713,"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."}}