{"id":"W4255735000","doi":"10.5194/hess-2018-359","title":"Modelling of shallow water table dynamics using conceptual and physically based integrated surface water-groundwater hydrologic models","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Université de Sherbrooke","keywords":"Water table; Groundwater recharge; Groundwater; Loam; Hydrology (agriculture); Environmental science; Soil science; Infiltration (HVAC); Water content; MODFLOW; Groundwater model; Soil water; Geology; Aquifer; Geotechnical engineering; Meteorology; Geography","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":[0.0002825226,0.0003850583,0.0003939868,0.0002913284,0.0002227368,0.0008700412,0.0007334645,0.0006600322,0.000837275],"category_scores_gemma":[0.0005396946,0.0002842536,0.000546757,0.0004278596,0.0005156666,0.0007119058,0.0006274452,0.0004326117,0.00008221961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009425822,"about_ca_system_score_gemma":0.0009033139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01235291,"about_ca_topic_score_gemma":0.009810979,"domain_scores_codex":[0.9998887,0.00003530043,0.000007474174,0.00002566021,0.00002712808,0.00001566598],"domain_scores_gemma":[0.9998569,0.00005333454,0.00002504395,0.00001865754,0.0000288145,0.000017181],"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":[0.000009970889,0.00001285671,0.0006986271,0.000009640019,0.000009547647,0.00001587089,0.00001147829,0.9950017,0.001131924,0.001776746,0.00004111273,0.00128049],"study_design_scores_gemma":[0.000004563792,0.000007921523,0.0002491411,0.000001008558,0.000002740933,0.00000217354,0.000003705152,0.9990343,0.0001272026,0.0004375,0.0001274198,0.000002429509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5695894,0.0002236521,0.421566,0.0002428382,0.00005495267,0.0001235735,0.0008195342,0.0004692032,0.006910921],"genre_scores_gemma":[0.9779173,0.0001028794,0.02057412,0.00001644433,0.000008414795,0.0001103967,0.0002045538,0.00001635196,0.001049576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01235291,"threshold_uncertainty_score":0.024562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04101867227323443,"score_gpt":0.2245663958690707,"score_spread":0.1835477235958363,"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."}}