{"id":"W2617749602","doi":"10.5194/hess-21-5875-2017","title":"Impacts of changes in groundwater recharge on the isotopic composition and geochemistry of seasonally ice-covered lakes: insights for sustainable management","year":2017,"lang":"en","type":"article","venue":"Hydrology and earth system sciences","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Innovates; Centre de Géomatique du Québec","funders":"Natural Sciences and Engineering Research Council of Canada; Groupe de recherche interuniversitaire en limnologie; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Groundwater recharge; Environmental science; Groundwater; Climate change; Hydrology (agriculture); Water quality; Water balance; Population; Eutrophication; Representative Concentration Pathways; Aquifer; Geology; Climate model; Oceanography; Ecology; Nutrient","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":[0.0002974459,0.0002453985,0.0002047824,0.0003612837,0.0002700416,0.0004990035,0.000237833,0.0003763353,0.0008950168],"category_scores_gemma":[0.0003058025,0.0001276815,0.0003796288,0.0004464028,0.0002634741,0.0004560361,0.0002949439,0.0001286327,0.00006533224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001147928,"about_ca_system_score_gemma":0.0006576304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01977255,"about_ca_topic_score_gemma":0.02470805,"domain_scores_codex":[0.9999566,0.00001494844,0.000003144395,0.000007031772,0.000006698677,0.0000116438],"domain_scores_gemma":[0.9999298,0.0000245358,0.00001243378,0.000004890715,0.00001770601,0.00001064478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000610956,0.000283838,0.6057368,0.0002344757,0.0003752679,0.0006824638,0.0002872966,0.2697198,0.09064151,0.002773419,0.001107831,0.02754636],"study_design_scores_gemma":[0.00003946288,0.0002481788,0.7307623,0.00002147406,0.0001246754,0.00006971625,0.0007420045,0.2548909,0.008806134,0.002081753,0.002178158,0.0000351828],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977307,0.0001389757,0.0005830431,0.0001272175,0.000003018574,0.000007960934,0.0003756774,0.000013898,0.001019539],"genre_scores_gemma":[0.9993404,0.0001080773,0.000286693,0.00001218338,0.000001939702,0.000004967902,0.000119511,0.000004283506,0.000121978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01977255,"threshold_uncertainty_score":0.03931493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01402694862676363,"score_gpt":0.2143680781670513,"score_spread":0.2003411295402876,"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."}}