{"id":"W2149284344","doi":"10.1371/journal.pntd.0004028","title":"Ecological Model to Predict Potential Habitats of Oncomelania hupensis, the Intermediate Host of Schistosoma japonicum in the Mountainous Regions, China","year":2015,"lang":"en","type":"article","venue":"PLoS neglected tropical diseases","topic":"Parasites and Host Interactions","field":"Immunology and Microbiology","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Oncomelania hupensis; Oncomelania; Normalized Difference Vegetation Index; Schistosoma japonicum; Intermediate host; Geography; Snail; SCHISTOSOMIASIS JAPONICA; Schistosomiasis; Habitat; China; Ecology; Digital elevation model; Diameter at breast height; Physical geography; Host (biology); Forestry; Biology; Remote sensing; Helminths; Climate change","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":[0.0000130451,0.0001649958,0.0003473223,0.0001135381,0.000109516,0.00001325083,0.0004883829,0.0001318268,0.0000737187],"category_scores_gemma":[0.0007401419,0.00009343649,0.0001511227,0.0002369745,0.0003388725,0.00006542778,0.0001263677,0.0003530073,0.00005700562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000065016,"about_ca_system_score_gemma":0.0001481479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001140549,"about_ca_topic_score_gemma":0.0001483007,"domain_scores_codex":[0.9985266,0.0004249605,0.0004038268,0.0002341164,0.0001099694,0.0003005464],"domain_scores_gemma":[0.9990104,0.0003074961,0.0001307216,0.0003635938,0.0001202529,0.00006749786],"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":[0.008141828,0.01432155,0.1162558,0.0001119961,0.00117757,0.0001402248,0.004831105,0.002063252,0.8051971,0.01867328,0.02852859,0.000557739],"study_design_scores_gemma":[0.0009858176,0.0008090789,0.9950342,0.00005594864,0.0001732469,0.0000296009,0.0003146857,0.0006419008,0.0008114685,0.0008914649,0.0001455446,0.0001071026],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962714,0.0009291596,0.0001515255,0.00139892,0.0001888425,0.0004453876,0.0002647735,0.0000355699,0.0003143935],"genre_scores_gemma":[0.9993144,0.00003868072,0.00003657828,0.0003158999,0.00003597376,0.00007441309,0.00009135885,0.00001041295,0.00008224243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8787783,"threshold_uncertainty_score":0.3810229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0214845313142329,"score_gpt":0.2674594490358216,"score_spread":0.2459749177215887,"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."}}