{"id":"W3158544655","doi":"10.1016/j.envpol.2021.117263","title":"Environmental adaptation of E. coli within private groundwater sources in southeastern Ontario: Implications for groundwater quality monitoring and human health","year":2021,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Ontario; Kingston Health Sciences Centre; Queen's University","funders":"","keywords":"Groundwater; Environmental science; Environmental monitoring; Adaptation (eye); Environmental quality; Human health; Water resource management; Water quality; Groundwater pollution; Environmental planning; Aquifer; Environmental health; Environmental engineering; Ecology; Geology; Biology","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":[0.0002215313,0.0001412998,0.0002014116,0.0004889678,0.001394962,0.0008668656,0.000408119,0.0003467675,0.0007720179],"category_scores_gemma":[0.001080447,0.0001825052,0.0001780143,0.001601219,0.000871337,0.0003053227,0.0006508302,0.0001988607,0.00007830628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008004891,"about_ca_system_score_gemma":0.007518344,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9426796,"about_ca_topic_score_gemma":0.9792193,"domain_scores_codex":[0.999513,0.00006691987,0.0000256361,0.00009607492,0.000142064,0.0001563839],"domain_scores_gemma":[0.9992775,0.00006293168,0.0002260371,0.00002886013,0.0003174773,0.00008717722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009023776,0.00002435296,0.9865182,0.00002789255,0.00001575885,0.0001913214,0.004240751,0.0001533198,0.004038447,0.00008359465,0.0001897449,0.004426429],"study_design_scores_gemma":[7.093953e-7,0.00001206791,0.995706,0.000004425694,0.000003282667,0.00003831513,0.003733981,0.00009100603,0.0001038641,0.00001547789,0.0002886742,0.000002202467],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989754,0.0000404021,0.00008624049,0.00007684108,0.000001205635,0.000007203391,0.0002075404,0.000001913507,0.000603304],"genre_scores_gemma":[0.9992129,0.00007243358,0.0001167945,0.00001854334,0.000001002093,0.000003802352,0.000108179,0.000001564738,0.0004648058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05732036,"threshold_uncertainty_score":0.1153158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04236980165387733,"score_gpt":0.283006393483308,"score_spread":0.2406365918294306,"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."}}