{"id":"W4200014327","doi":"10.5194/hess-25-6567-2021","title":"Simulation of long-term spatiotemporal variations in regional-scale groundwater recharge: contributions of a water budget approach in cold and humid climates","year":2021,"lang":"en","type":"article","venue":"Hydrology and earth system sciences","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"Québec Ministère du Développement Durable, de l’Environnement et de la Lutte Contre les Changements Climatiques; Ministry of Environment","keywords":"Baseflow; Groundwater recharge; Environmental science; Evapotranspiration; Surface runoff; Context (archaeology); Groundwater; Hydrology (agriculture); Precipitation; Water balance; Climatology; Streamflow; Meteorology; Aquifer; Geology; Drainage basin; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004704066,0.0007031487,0.0005800212,0.0005493567,0.00051679,0.0007504208,0.0009612693,0.00108818,0.001503575],"category_scores_gemma":[0.0009630297,0.000364539,0.0007422044,0.0006926239,0.0005368773,0.0005084344,0.0005016092,0.0006522149,0.0001037562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00284163,"about_ca_system_score_gemma":0.0023142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.414458,"about_ca_topic_score_gemma":0.2751454,"domain_scores_codex":[0.9998789,0.00003102979,0.000007415993,0.00003007964,0.00001394714,0.00003870893],"domain_scores_gemma":[0.999653,0.0001413487,0.00004325495,0.00002615785,0.00007283832,0.00006343892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004350514,0.00003721721,0.005489191,0.000009615532,0.00002476358,0.00003704568,0.00001224689,0.9925007,0.0006180672,0.0001345067,0.00009922715,0.0009937929],"study_design_scores_gemma":[0.00001570174,0.00001426543,0.001745601,0.000001783298,0.000006224518,0.0000026786,0.00001337807,0.9978502,0.0002046899,0.000051405,0.00008902323,0.000005048581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901426,0.00008697014,0.005884077,0.0001439376,0.00001721338,0.00003835896,0.00111262,0.0002307069,0.002343488],"genre_scores_gemma":[0.9966952,0.00004534514,0.002269175,0.00002105654,0.000003685572,0.00002283041,0.0004583754,0.00002126632,0.0004631189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.414458,"threshold_uncertainty_score":0.8240911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01699178433387535,"score_gpt":0.2453140444686481,"score_spread":0.2283222601347727,"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."}}