{"id":"W2904753653","doi":"10.2166/wh.2018.323","title":"Weather, environmental conditions, and waterborne Giardia and Cryptosporidium in Iqaluit, Nunavut","year":2018,"lang":"en","type":"article","venue":"Journal of Water and Health","topic":"Parasitic Infections and Diagnostics","field":"Immunology and Microbiology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; Public Health Agency of Canada; Aboriginal Affairs Northern Dev Canada; Nunavut Research Institute; University of Alberta; Hyperion Technologies (Canada); University of Guelph","funders":"Government of Canada; University of Guelph","keywords":"Cryptosporidium; Giardia; Contamination; Cryptosporidium parvum; Water quality; Surface water; Environmental science; Biology; Veterinary medicine; Environmental engineering; Ecology; Microbiology; Medicine; Feces","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003453163,0.00007290575,0.0001919785,0.00008841114,0.0001473931,0.00001163363,0.00002198077,0.00006968405,0.0001347742],"category_scores_gemma":[0.000005267632,0.00004796822,0.00001685619,0.00001340443,0.0002055205,0.0000736906,0.00002376787,0.0001532238,0.00001859756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002749948,"about_ca_system_score_gemma":0.00002499132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006671599,"about_ca_topic_score_gemma":0.00002542143,"domain_scores_codex":[0.9994079,0.00005884516,0.0002483905,0.00008182249,0.00001763897,0.0001853503],"domain_scores_gemma":[0.9998038,0.0000304756,0.00006339191,0.00004373298,0.00001309016,0.00004545382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002498555,0.0004695958,0.8589847,0.00008445567,0.0001779911,0.00005494704,0.009652005,0.000001654323,0.1130652,0.0009581832,0.008501703,0.007799651],"study_design_scores_gemma":[0.002441439,0.00112649,0.9555321,0.0000737941,0.00002913055,0.001685147,0.0005653996,0.000002609703,0.01726203,0.001557108,0.01960492,0.0001197777],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951619,0.003121018,0.00003532187,0.001213207,0.0002942928,0.00006237734,0.00001709087,0.000002782862,0.00009203645],"genre_scores_gemma":[0.9963729,0.002956153,0.00006927094,0.0003907024,0.00008375839,0.000001027011,0.00001214768,0.000004554562,0.0001095074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09654742,"threshold_uncertainty_score":0.1956087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01047927763092272,"score_gpt":0.2712197184820249,"score_spread":0.2607404408511022,"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."}}