{"id":"W2276976596","doi":"10.4236/jep.2016.73033","title":"Using Host-Specificity of &amp;lt;i&amp;gt;Cryptosporidium&amp;lt;/i&amp;gt; to Understand Contaminant Sources, Seasonality, and Human Health Risk in Three Watersheds of Differing Land-Use","year":2016,"lang":"en","type":"article","venue":"Journal of Environmental Protection","topic":"Parasitic Infections and Diagnostics","field":"Immunology and Microbiology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Public Health Agency of Canada; Ministry of the Environment, Conservation and Parks","funders":"","keywords":"Cryptosporidium; Watershed; Wildlife; Genotyping; Ecology; Seasonality; Cryptosporidium parvum; Biology; Agricultural land; Geography; Environmental science; Land use; Ecosystem health; Veterinary medicine; Ecosystem; Genotype; Ecosystem services; Microbiology","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":[0.0001944932,0.000280597,0.0002074226,0.0002636485,0.0002783179,0.0004653475,0.0002126597,0.0002479099,0.001075351],"category_scores_gemma":[0.000452675,0.0001555785,0.0001316948,0.0006234872,0.000474334,0.0001393484,0.0001575557,0.0002694195,0.0004507328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001153729,"about_ca_system_score_gemma":0.001006799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1892784,"about_ca_topic_score_gemma":0.3999483,"domain_scores_codex":[0.9996319,0.00002939307,0.00002241124,0.0001505117,0.00009410573,0.00007170776],"domain_scores_gemma":[0.9997572,0.00004184453,0.00007314225,0.00001759891,0.0000765966,0.00003350581],"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":[0.0002983331,0.00009385704,0.1399329,0.00008357297,0.00001634591,0.00009543997,0.0004283629,0.0002976288,0.8452281,0.00007348407,0.000184975,0.01326698],"study_design_scores_gemma":[0.00001744449,0.0004840261,0.793913,0.00002110492,0.00004652898,0.0003334907,0.0007144197,0.003254676,0.195962,0.0001138434,0.005116561,0.00002290273],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99472,0.00009878687,0.002168224,0.00004707551,0.000004264128,0.00006577143,0.001212876,0.00003434547,0.001648777],"genre_scores_gemma":[0.9879158,0.000188494,0.006613631,0.00008382316,0.000002538543,0.00006264583,0.001719452,0.00002035574,0.003393325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1892784,"threshold_uncertainty_score":0.3763534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05225449398962508,"score_gpt":0.273952449571333,"score_spread":0.221697955581708,"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."}}