{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001349268,0.0001643331,0.0003256723,0.0001119431,0.00009626773,0.000005849955,0.00004068175,0.0002195644,0.0003374126],"category_scores_gemma":[0.000004257322,0.0001168982,0.00003231194,0.00007415133,0.0004239346,0.00005978038,0.00005981279,0.0001549469,0.00006019087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002978141,"about_ca_system_score_gemma":0.000004268751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003651437,"about_ca_topic_score_gemma":0.0001833537,"domain_scores_codex":[0.9991293,0.00009525719,0.0002322659,0.0002317985,0.00001139023,0.0002999756],"domain_scores_gemma":[0.9995652,0.0001903705,0.00006319001,0.0001502696,0.000003139212,0.00002776026],"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":[0.0000410662,0.00008543272,0.4948875,0.000001872226,0.0002237717,5.709096e-7,0.0005291492,0.00007040488,0.5039133,0.0002088874,0.000008977563,0.00002896288],"study_design_scores_gemma":[0.0006571458,0.00005238701,0.8141811,0.000004173243,0.0004027564,0.00001772057,0.0006221163,0.000003767179,0.181634,0.00003142135,0.002216956,0.0001764294],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985406,0.0004668997,0.0002304322,0.00002379476,0.00009154787,0.0001373254,0.0003599505,0.000009353969,0.0001400776],"genre_scores_gemma":[0.9979091,0.0000840465,0.0004007119,0.00005346385,0.00001202226,0.000006300973,0.001428401,0.00001188807,0.00009408894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3222794,"threshold_uncertainty_score":0.4766969,"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."}}