{"id":"W2008022620","doi":"10.1128/aem.01924-12","title":"Spatiotemporal Analysis of Cryptosporidium Species/Genotypes and Relationships with Other Zoonotic Pathogens in Surface Water from Mixed-Use Watersheds","year":2012,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Parasitic Infections and Diagnostics","field":"Immunology and Microbiology","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; University of Alberta; University of Calgary; Agriculture and Agri-Food Canada","funders":"","keywords":"Cryptosporidium; Biology; Salmonella; Livestock; Campylobacter; Veterinary medicine; Cryptosporidium parvum; Wildlife; Giardia; Zoonosis; Genotype; Waterborne diseases; Ecology; Feces; Water quality; Microbiology; Virology; Bacteria","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":[0.0002194456,0.0001733635,0.0002613024,0.001015327,0.0005613295,0.0006773198,0.0002453054,0.0002162401,0.0003834928],"category_scores_gemma":[0.0005382272,0.0001393993,0.000160102,0.002111651,0.0004734128,0.0002526756,0.0003842163,0.0001459782,0.00006452264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001339786,"about_ca_system_score_gemma":0.000964764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3609522,"about_ca_topic_score_gemma":0.5464211,"domain_scores_codex":[0.9997719,0.00002566001,0.00001872541,0.0000666826,0.00005928588,0.00005779881],"domain_scores_gemma":[0.999512,0.00005210482,0.0001724575,0.00001879851,0.0001484036,0.00009626798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004775499,0.00001300432,0.9955294,0.00001525904,0.00002197923,0.00006023454,0.0004159348,0.00004431047,0.002285517,0.000007674603,0.00005218113,0.001506803],"study_design_scores_gemma":[5.881247e-7,0.00001178159,0.9992375,0.000002365274,0.000004398778,0.00002737743,0.0004674401,0.00009418243,0.00008696241,0.000003415073,0.0000624862,0.000001421154],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994494,0.00004775421,0.00003837795,0.000007953851,5.390847e-7,0.000005218707,0.0003275343,0.000001759716,0.0001213492],"genre_scores_gemma":[0.9992448,0.00006750996,0.0001308771,0.000007703832,0.000001563543,0.000007250816,0.0004291286,9.384805e-7,0.0001103159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3609522,"threshold_uncertainty_score":0.7177024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01112615779267926,"score_gpt":0.1765753113824136,"score_spread":0.1654491535897344,"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."}}