{"id":"W2762811307","doi":"10.1111/zph.12388","title":"Temporal trends in <i>Giardia</i> occurrence in the Grand River and surrounding tributaries, Waterloo, Ontario (2005–2013), a retrospective analysis of surveillance data","year":2017,"lang":"en","type":"article","venue":"Zoonoses and Public Health","topic":"Parasitic Infections and Diagnostics","field":"Immunology and Microbiology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Ministry of the Environment, Conservation and Parks; University of Guelph","funders":"","keywords":"Giardia; Water quality; Tributary; Environmental science; Watershed; Veterinary medicine; Hydrology (agriculture); Dry season; Biology; Geography; Ecology; Medicine; Cartography","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":[0.0003451724,0.0002126895,0.000234866,0.0009417349,0.0009657324,0.000882476,0.0007654779,0.0002109551,0.0008389027],"category_scores_gemma":[0.0009955197,0.0003141051,0.0003187891,0.002730188,0.0005903443,0.0003025906,0.000523332,0.000293527,0.0001534939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009568126,"about_ca_system_score_gemma":0.00854631,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9714723,"about_ca_topic_score_gemma":0.9900528,"domain_scores_codex":[0.999378,0.00003714316,0.00005243668,0.0001661989,0.0002204248,0.0001458942],"domain_scores_gemma":[0.9986712,0.00005342381,0.0005490868,0.00005045626,0.0004887248,0.0001871548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002303602,0.000007105808,0.9966041,0.000033565,0.00003130019,0.00005820533,0.0005924766,0.0000411396,0.0004358449,0.00002383965,0.0006362196,0.001513163],"study_design_scores_gemma":[8.549435e-7,0.000007273037,0.9987501,0.000007547934,0.000008219814,0.00002718341,0.0003940232,0.00004854172,0.00004582992,0.000002931279,0.0007053167,0.000002220079],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911044,0.0004507481,0.0001301499,0.0001303291,0.000004486621,0.00003818275,0.006835685,0.00001528568,0.001290828],"genre_scores_gemma":[0.9943115,0.0004648146,0.0002450791,0.000062879,0.000005062282,0.00003698966,0.003733243,0.000005896931,0.00113448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02852768,"threshold_uncertainty_score":0.06942195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06104848504393571,"score_gpt":0.3236517757565335,"score_spread":0.2626032907125978,"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."}}