{"id":"W4246308481","doi":"10.1079/dmpd/20056500442","title":"<i>Mycosphaerella pruni-persicae</i> . [Distribution map].","year":2005,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Distribution (mathematics); Mycosphaerella; Geography; Biology; Botany; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001890439,0.001406755,0.0007420675,0.005184059,0.0005180545,0.001043565,0.001148492,0.0004578627,0.1098844],"category_scores_gemma":[0.0005940506,0.0005721712,0.0003882881,0.01116051,0.0002869892,0.0006447241,0.0004795563,0.0009384021,0.05829491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000926421,"about_ca_system_score_gemma":0.001040895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04396322,"about_ca_topic_score_gemma":0.03562579,"domain_scores_codex":[0.9998858,0.00001338622,0.000009232586,0.00002218824,0.00004229266,0.00002716446],"domain_scores_gemma":[0.9994708,0.00006652844,0.0001323432,0.00002347238,0.000192413,0.000114428],"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":[0.0001852504,0.0000571705,0.001747401,0.002741031,0.00003707518,0.0002696882,0.0002094743,0.000562735,0.003961913,0.001094983,0.9242295,0.06490383],"study_design_scores_gemma":[0.00007820735,0.00002520988,0.0207509,0.0002532261,0.00001757273,0.0001996403,0.00005329714,0.0001702994,0.0003481949,0.0003730552,0.9777124,0.00001808675],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00309921,0.004017637,0.001653434,0.001346763,0.0007920984,0.000394393,0.9181194,0.002478779,0.06809833],"genre_scores_gemma":[0.005902123,0.003629272,0.004932963,0.000332193,0.0001707107,0.0002947235,0.9577996,0.000286849,0.02665156],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1098844,"threshold_uncertainty_score":0.3675999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006974085777860411,"score_gpt":0.211934963522992,"score_spread":0.2049608777451316,"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."}}