{"id":"W2517197353","doi":"10.1038/srep31089","title":"Multi-host model and threshold of intermediate host Oncomelania snail density for eliminating schistosomiasis transmission in China","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Parasites and Host Interactions","field":"Immunology and Microbiology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Natural Science Foundation of China","keywords":"Oncomelania; Schistosomiasis; Snail; Transmission (telecommunications); Intermediate host; Host (biology); China; Schistosoma japonicum; Geography; Oncomelania hupensis; Schistosoma; Environmental health; Ecology; Biology; Medicine; Zoology; Helminths; Computer science; Schistosoma mansoni","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001897091,0.0008744589,0.001561879,0.001060592,0.0006612073,0.001285725,0.002545468,0.001493229,0.003166596],"category_scores_gemma":[0.00368489,0.0005123875,0.00136255,0.0005184922,0.001159739,0.00153733,0.001563217,0.0009152553,0.0003317344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001299156,"about_ca_system_score_gemma":0.001251021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02312443,"about_ca_topic_score_gemma":0.008238868,"domain_scores_codex":[0.9992021,0.0002976902,0.00003148299,0.0001784276,0.00006971137,0.0002206451],"domain_scores_gemma":[0.998464,0.0006580083,0.0003360944,0.00004873838,0.0002284761,0.000264605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002133833,0.0001796995,0.02692729,0.0001623925,0.0002265418,0.0007986529,0.0003069706,0.949232,0.002565062,0.01421493,0.001009361,0.004163709],"study_design_scores_gemma":[0.00003830751,0.00008468649,0.003796091,0.00000820947,0.00005425909,0.00007626325,0.00007781979,0.9927879,0.00006316744,0.002840309,0.000156332,0.00001667185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9139281,0.001160435,0.07671638,0.001245459,0.0000841335,0.000141256,0.0004996932,0.000164781,0.006059744],"genre_scores_gemma":[0.9943128,0.0003848488,0.002020701,0.00006682352,0.00002051015,0.000083327,0.0001343186,0.00001611101,0.002960616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02312443,"threshold_uncertainty_score":0.04597968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01856571594297378,"score_gpt":0.2838040839463607,"score_spread":0.2652383680033869,"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."}}