{"id":"W4386024638","doi":"10.1016/j.scitotenv.2023.166466","title":"Efficacy of urban road salt reduction strategies on public supply well quality","year":2023,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Regional Municipality of Waterloo; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de l’Environnement, de la Protection de la nature et des Parcs","keywords":"Vadose zone; Groundwater; Environmental science; Hydrology (agriculture); Water quality; Water well; Chloride; Water supply; Environmental engineering; Geology; Chemistry; Ecology; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0009497069,0.0002583138,0.0003624617,0.0002414302,0.0004061824,0.001095776,0.0003767954,0.0005763246,0.003091408],"category_scores_gemma":[0.002237191,0.00008443822,0.000520395,0.0003551778,0.0004880197,0.0006875457,0.0005312301,0.0002880528,0.0002057891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001125283,"about_ca_system_score_gemma":0.002812088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01424294,"about_ca_topic_score_gemma":0.02234102,"domain_scores_codex":[0.99939,0.0002718922,0.00002704158,0.00007024093,0.0001065671,0.000134331],"domain_scores_gemma":[0.9987693,0.0005065891,0.0002507455,0.00008724639,0.0002266703,0.0001593239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.08199093,0.06222727,0.1310854,0.001984227,0.001643845,0.0006186343,0.003358028,0.09176018,0.09268577,0.01335304,0.00376528,0.5155274],"study_design_scores_gemma":[0.00454507,0.1151457,0.5516276,0.0005454747,0.003890768,0.0001548997,0.01499065,0.07199764,0.2012751,0.008522965,0.027095,0.000209071],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964026,0.0001394965,0.0002314378,0.0001797087,0.00001489007,0.00003787551,0.00005206607,0.00001486472,0.002927093],"genre_scores_gemma":[0.9990607,0.00008589333,0.0001722551,0.00003845922,0.000004442206,0.00001156444,0.00002364091,0.000001944196,0.000601064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01424294,"threshold_uncertainty_score":0.02832007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01855269493742476,"score_gpt":0.2419514471180436,"score_spread":0.2233987521806189,"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."}}