{"id":"W2988714010","doi":"10.4081/gh.2019.769","title":"Exploring the geographical distribution of cryptosporidiosis in the cattle population of Southern Ontario, Canada, 2011-2014","year":2019,"lang":"en","type":"article","venue":"Geospatial health","topic":"Parasitic Infections and Diagnostics","field":"Immunology and Microbiology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Distribution (mathematics); Geography; Population; Veterinary medicine; Cryptosporidium; Biology; Ecology; Environmental health; Feces; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005690943,0.0003177326,0.0003156002,0.001556223,0.001709289,0.0009241086,0.0008649737,0.0002625478,0.00135268],"category_scores_gemma":[0.001690595,0.0003207307,0.0004804076,0.004238338,0.0008154697,0.0002979502,0.0007099231,0.0003101755,0.0001776531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02470024,"about_ca_system_score_gemma":0.02519562,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958716,"about_ca_topic_score_gemma":0.9981009,"domain_scores_codex":[0.9993885,0.00003661079,0.00003508457,0.0001178808,0.0002422147,0.0001797758],"domain_scores_gemma":[0.9987146,0.00006093687,0.0002816067,0.00004347381,0.0006613572,0.000238065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008730574,0.00001087255,0.9890388,0.0001251579,0.00006802751,0.0001408195,0.002145188,0.0002064546,0.0005699797,0.00009940817,0.001351292,0.00615658],"study_design_scores_gemma":[0.000002555458,0.00001352752,0.9972746,0.00002524548,0.00001424259,0.00004233124,0.001408716,0.0001071087,0.00003073188,0.000008509822,0.001068457,0.000004068276],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853218,0.001365771,0.0002775714,0.0003749278,0.00001253322,0.00009386415,0.009751642,0.00001650576,0.00278544],"genre_scores_gemma":[0.9928144,0.001018252,0.0003882856,0.00008946381,0.000006727496,0.0000484767,0.00365145,0.00000595191,0.001977136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02470024,"threshold_uncertainty_score":0.1792136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0170901190971841,"score_gpt":0.2299017290588376,"score_spread":0.2128116099616535,"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."}}