{"id":"W7071536225","doi":"","title":"Spatial heterogeneity and temporal variations in Echinococcus multilocularis infections in wild&#13;\\nhosts in a North American urban setting","year":2014,"lang":"en","type":"article","venue":"CINECA IRIS Institutial research information system (University of Pisa)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Echinococcus multilocularis; Feces; Vulpes; Rodent; Cestoda; Intermediate host; Host (biology); Abundance (ecology); Parasite hosting; Mammal","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001470541,0.0001342752,0.000249517,0.000848829,0.0002114517,0.00004207171,0.0002454669,0.0001270688,0.000002209287],"category_scores_gemma":[0.000665704,0.0001622811,0.00004547748,0.0008464179,0.000273294,0.0001296418,0.0002835327,0.0003986657,0.00001072035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001748523,"about_ca_system_score_gemma":0.000208023,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02176018,"about_ca_topic_score_gemma":0.1308957,"domain_scores_codex":[0.9983535,0.0003849974,0.0004302133,0.0001870776,0.0003301484,0.0003140206],"domain_scores_gemma":[0.9990849,0.00006458478,0.0002522529,0.0002983373,0.0001921338,0.0001077756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009113171,0.00004366676,0.9885342,0.0001902133,0.00001212424,0.0000024874,0.002202052,0.002814349,0.000143927,0.0002029091,0.0000622748,0.005700663],"study_design_scores_gemma":[0.001870997,0.0002560512,0.8799827,0.00009650736,0.000004400864,0.0000126953,0.001854627,0.1121544,0.00007828848,0.000002266617,0.003513842,0.0001732925],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9557512,0.000006765258,0.04197551,0.000100226,0.00005300498,0.0004756875,0.00003517894,0.00001663084,0.001585825],"genre_scores_gemma":[0.9979779,0.00001495585,0.001776031,0.00001763752,0.00003501025,0.000004224171,0.000162694,0.000005489516,0.000006113137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.10934,"threshold_uncertainty_score":0.984754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01333870956555224,"score_gpt":0.2721363577825091,"score_spread":0.2587976482169569,"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."}}