{"id":"W3043135777","doi":"10.1038/s41396-020-0720-5","title":"Predicting disease occurrence with high accuracy based on soil macroecological patterns of Fusarium wilt","year":2020,"lang":"en","type":"article","venue":"The ISME Journal","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":297,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics and Developmental Biology, Chinese Academy of Sciences; National Postdoctoral Program for Innovative Talents; Special Fund for Agro-scientific Research in the Public Interest; Fundamental Research Funds for the Central Universities; Natural Science Foundation of Jiangsu Province; Government of Jiangsu Province; Chinese Academy of Sciences; Ministry of Education of the People's Republic of China; Institute of Genetics; National Natural Science Foundation of China","keywords":"Biology; Fusarium oxysporum; Fusarium wilt; Fusarium; Microbiome; Soil microbiology; Soil water; Wilt disease; Agronomy; Botany; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001153707,0.0001216398,0.000116526,0.00001354062,0.0001290247,0.00002934306,0.0002558825,0.0000398483,0.00007077071],"category_scores_gemma":[0.0001419278,0.00006231139,0.00008372385,0.00003515165,0.00005085587,0.000004309743,0.00006296729,0.0001832222,0.000004015216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005160836,"about_ca_system_score_gemma":0.0001019339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002532038,"about_ca_topic_score_gemma":0.000002163307,"domain_scores_codex":[0.9991916,0.00009181816,0.00015097,0.0001642838,0.0002030532,0.0001982161],"domain_scores_gemma":[0.9993909,0.0000437359,0.0001222306,0.0001513868,0.00006183224,0.0002298849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002680951,0.0002963755,0.2577851,0.00007189901,0.00009915418,0.0002042065,0.00008174092,0.01312349,0.7222273,0.00001791532,0.002374439,0.001037462],"study_design_scores_gemma":[0.00402825,0.005446399,0.8025095,0.0002183614,0.0005048778,0.000158588,0.0003431973,0.01158137,0.1690563,0.00006521476,0.005279042,0.0008089421],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943086,0.00008713045,0.001637316,0.002432976,0.00005653081,0.00008250663,0.001339156,0.00000720944,0.00004856943],"genre_scores_gemma":[0.997582,0.0000499299,0.00003589189,0.001855247,0.0003185234,0.000004130269,0.0001366733,0.000007176906,0.0000104179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.553171,"threshold_uncertainty_score":0.2540985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01406841540972623,"score_gpt":0.2275301098730996,"score_spread":0.2134616944633734,"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."}}