{"id":"W2143875496","doi":"10.4081/gh.2013.61","title":"Schistosoma japonicum risk in Jiangsu province, People’s Republic of China: identification of a spatio-temporal risk pattern along the Yangtze River","year":2013,"lang":"en","type":"article","venue":"Geospatial health","topic":"Parasites and Host Interactions","field":"Immunology and Microbiology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China; International Development Research Centre","keywords":"Schistosoma japonicum; China; Yangtze river; Geography; Schistosomiasis; Transmission (telecommunications); Veterinary medicine; Schistosoma; Distribution (mathematics); Spatial distribution; Biology; Ecology; Physical geography; Helminths; Zoology; Medicine; Remote sensing; Schistosoma mansoni","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":[0.0006014968,0.0001505132,0.0003587631,0.0001773074,0.0002591712,0.00001453983,0.0002622263,0.000136818,0.0005550191],"category_scores_gemma":[0.000164543,0.0001160686,0.0001107953,0.0002340031,0.0001715229,0.0002178695,0.00007325094,0.0004603548,0.0002119126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009937928,"about_ca_system_score_gemma":0.0002866756,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4910806,"about_ca_topic_score_gemma":0.2410063,"domain_scores_codex":[0.9978382,0.0005785878,0.0008921681,0.0002826321,0.00007225602,0.0003361694],"domain_scores_gemma":[0.9978404,0.0001474502,0.001349697,0.0004965924,0.0001343216,0.00003152074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008016262,0.0003394226,0.9509369,0.00007693193,0.00007133233,4.070707e-7,0.0050855,0.00002958799,0.0007934103,0.0002553914,0.003407561,0.03892342],"study_design_scores_gemma":[0.0006485726,0.0002457204,0.9957092,0.00004986853,0.00002226778,0.000009239471,0.0002724804,0.0003496334,0.0005642526,0.0001664382,0.001862402,0.00009995273],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949083,0.0008179755,0.00114719,0.001217059,0.0005463277,0.0008792026,0.0003425467,0.00002647091,0.000114925],"genre_scores_gemma":[0.9984872,0.0001950452,0.00005851149,0.00006954407,0.00003323621,0.00007731105,0.0003357879,0.00001384808,0.0007295363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2500744,"threshold_uncertainty_score":0.7728434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00706448317435704,"score_gpt":0.2570233927794458,"score_spread":0.2499589096050888,"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."}}