{"id":"W2515777002","doi":"10.1680/jenes.15.00022","title":"Rainfall and microbial contamination in Alberta well water","year":2016,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Provincial Laboratory of Public Health; University of Alberta; University of Calgary; University of Victoria","funders":"","keywords":"Precipitation; Environmental science; Contamination; Spatial variability; Spatial analysis; Fecal coliform; Hydrology (agriculture); Veterinary medicine; Ecology; Biology; Geography; Water quality; Mathematics; Remote sensing; Geology; Meteorology; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0006266946,0.00007118264,0.00008952621,0.00007110737,0.00004045233,0.00002251631,0.00009985614,0.00002413181,0.0001865958],"category_scores_gemma":[0.00003277474,0.00004120001,0.00001530778,0.00004757859,0.0002771395,0.0004766706,0.00009774177,0.00005912527,0.00001983892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001355879,"about_ca_system_score_gemma":0.000002727748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003390695,"about_ca_topic_score_gemma":0.00001460137,"domain_scores_codex":[0.999309,0.0000147681,0.0001932872,0.0001294045,0.0001931209,0.0001604143],"domain_scores_gemma":[0.9997645,0.00004245425,0.00004183284,0.00005118722,0.000001779521,0.0000982526],"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":[0.000009498057,0.00002580633,0.03461146,0.00000267112,0.000001258239,0.000005369293,0.000514694,0.0001163187,0.9582996,0.00004152969,0.00001261668,0.006359112],"study_design_scores_gemma":[0.001052141,0.0001358004,0.8986338,0.00003814971,0.000004705162,0.0001113801,0.0000497151,0.001337584,0.09271269,0.00007139664,0.005688985,0.0001636066],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987488,0.00001330322,0.0003677405,0.0005026387,0.00007051256,0.00003668536,7.620871e-7,0.000001916817,0.0002576747],"genre_scores_gemma":[0.999216,0.00003844962,0.0002207541,0.00005695213,0.00001175575,5.012182e-7,1.201029e-7,0.000003400239,0.0004520809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.865587,"threshold_uncertainty_score":0.2043093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00380119304561716,"score_gpt":0.1752496018641017,"score_spread":0.1714484088184846,"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."}}