{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002083073,0.00009440804,0.0001147989,0.000791954,0.0003149411,0.0005471731,0.0002038773,0.0001052292,0.0005879362],"category_scores_gemma":[0.0005434326,0.0001037451,0.0001094153,0.001690094,0.000275334,0.0001715423,0.0002835774,0.000130903,0.00004389599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003083418,"about_ca_system_score_gemma":0.00167103,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7748712,"about_ca_topic_score_gemma":0.8749512,"domain_scores_codex":[0.9998272,0.00002052121,0.000007340898,0.00002998789,0.00007536489,0.00003957695],"domain_scores_gemma":[0.9997246,0.00003316146,0.0000976318,0.000008886116,0.00009689005,0.00003884551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006889954,0.0000123027,0.9925511,0.000008793811,0.00001924588,0.00008290218,0.0002243518,0.0005499249,0.001879955,0.00004942089,0.0001070584,0.004446025],"study_design_scores_gemma":[8.455882e-7,0.000005575712,0.9993024,0.000001632566,0.000003336756,0.00001449009,0.0001842909,0.0002067319,0.0001182952,0.00001213955,0.0001486676,0.000001593653],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990452,0.0001142029,0.00007990264,0.00002234952,0.000001314227,0.000002369571,0.0002691953,0.000004059149,0.0004613411],"genre_scores_gemma":[0.9991153,0.0001258427,0.0001349693,0.000009520988,0.000001646522,0.000001927976,0.0002926099,0.000001268602,0.000316907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2251288,"threshold_uncertainty_score":0.4529092,"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."}}