{"id":"W2607837795","doi":"10.1079/dmpd/20103096742","title":"<i>Erysiphe cruciferarum</i> . [Distribution map].","year":2010,"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; Distribution (mathematics); Socioeconomics; Environmental protection","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001236404,0.0002396851,0.000276121,0.000009877272,0.0002432856,0.0000657966,0.0003761667,0.0001331656,0.001047076],"category_scores_gemma":[0.0003279045,0.0001134591,0.0002540413,0.0002940613,0.0001763169,0.000241411,0.00009096739,0.0001819886,0.0001136454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002971598,"about_ca_system_score_gemma":0.00003647258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000123996,"about_ca_topic_score_gemma":0.0001364948,"domain_scores_codex":[0.9983307,0.00007870529,0.0003797731,0.0003838459,0.0004130248,0.0004139814],"domain_scores_gemma":[0.9988795,0.0002572504,0.0001966225,0.0001483024,0.0001692623,0.0003490712],"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":[0.0002247151,0.0006430809,0.04790089,0.00004442827,0.00003329214,0.00001839641,0.000005372624,0.000002906581,0.08980156,0.004184159,0.8522902,0.004850988],"study_design_scores_gemma":[0.0002897043,0.000127602,0.1849674,0.00004507906,0.00009734958,0.00001239847,0.00008575566,0.00006213637,0.008038841,0.002421225,0.803463,0.0003894746],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3362758,0.0003062252,0.00002502305,0.0005476673,0.000372581,0.0002264231,0.6620547,0.0001533097,0.00003823823],"genre_scores_gemma":[0.6315162,0.0000296388,0.000007262495,0.0000826327,0.0002257465,0.00002473103,0.368068,0.000001157034,0.00004461631],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.2952404,"threshold_uncertainty_score":0.9998661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01008526712106828,"score_gpt":0.2038635263966395,"score_spread":0.1937782592755712,"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."}}