{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007806249,0.0002117343,0.0005088328,0.0002056363,0.000240631,0.00001576663,0.00009320834,0.000191924,0.0001623745],"category_scores_gemma":[0.0001042372,0.000158996,0.0001161825,0.00009451795,0.0002869157,0.000196878,0.00008967495,0.0003126523,0.00001257663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004706,"about_ca_system_score_gemma":0.00003168027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000601118,"about_ca_topic_score_gemma":0.001769759,"domain_scores_codex":[0.9982713,0.000286582,0.000772984,0.0002259055,0.0001302277,0.0003129787],"domain_scores_gemma":[0.9987353,0.000161704,0.0007850442,0.0002119861,0.00002890133,0.00007703724],"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":[0.0003805313,0.0003413598,0.2870196,0.00003576218,0.0001000378,0.00000152828,0.0005294289,0.0001228553,0.7100853,0.00005464226,0.00001831923,0.001310748],"study_design_scores_gemma":[0.003270956,0.0009552396,0.9544631,0.0006224025,0.0001150969,0.0003561057,0.0001691071,0.000003370079,0.03493616,0.0004364586,0.004382085,0.0002898948],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.935927,0.0007285336,0.06243036,0.00009715748,0.0002539143,0.0004158692,0.0001271912,0.000007383939,0.00001262853],"genre_scores_gemma":[0.9985616,0.0004530777,0.0008078507,0.00001640532,0.00005685313,0.000003857765,0.000009464466,0.00001934963,0.00007150372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6751491,"threshold_uncertainty_score":0.6483669,"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."}}