{"id":"W2004773683","doi":"10.1016/j.jconhyd.2009.04.002","title":"Hydrogeological impacts of road salt from Canada's busiest highway on a Lake Ontario watershed (Frenchman's Bay) and lagoon, City of Pickering","year":2009,"lang":"en","type":"article","venue":"Journal of Contaminant Hydrology","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":123,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; The Scarborough Hospital","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Baseflow; Hydrology (agriculture); Groundwater; Surface runoff; Environmental science; Watershed; Water quality; Aquifer; Surface water; Bay; Streamflow; Geology; Environmental engineering; Geography; Drainage basin; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0003344784,0.0001737777,0.0005960938,0.00007225768,0.00005070863,0.000008010765,0.0002057982,0.0001221391,0.0006891617],"category_scores_gemma":[0.00007673448,0.0001315306,0.00006961069,0.00007346583,0.0002511301,0.0001373952,0.00007274523,0.0002090022,0.000002470892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002401488,"about_ca_system_score_gemma":0.0001191747,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5382279,"about_ca_topic_score_gemma":0.9620262,"domain_scores_codex":[0.9984182,0.0001060575,0.0006952822,0.0001906297,0.0003109802,0.0002788185],"domain_scores_gemma":[0.9988656,0.00008049498,0.0007146407,0.0001701971,0.00003051971,0.0001385147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004601178,0.00008459778,0.8840739,0.00000402186,0.00004106718,0.0001698373,0.00041238,0.0001674312,0.1133312,0.00002563558,0.0001107368,0.001119158],"study_design_scores_gemma":[0.0009620902,0.001379829,0.9614186,0.00003404066,0.00005018468,0.0003394709,0.0000168795,0.00004569984,0.03370153,0.0003606005,0.001575888,0.0001151624],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998715,0.00002868653,0.00001944192,0.0004332024,0.0004293072,0.00009186634,0.00001331521,0.000004763543,0.0002643685],"genre_scores_gemma":[0.9995316,0.0000158021,0.0002081454,0.0001651312,0.00005227068,5.999124e-7,0.000004951487,0.000005288423,0.00001624445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4237984,"threshold_uncertainty_score":0.7545838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006214104949383299,"score_gpt":0.1877114708922023,"score_spread":0.181497365942819,"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."}}