{"id":"W2612422058","doi":"10.3390/hydrology4020028","title":"Understanding the Effects of Parameter Uncertainty on Temporal Dynamics of Groundwater-Surface Water Interaction","year":2017,"lang":"en","type":"article","venue":"Hydrology","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University; University of Northern British Columbia","funders":"","keywords":"Environmental science; Uncertainty analysis; Groundwater; Groundwater flow; Watershed; Hydrology (agriculture); Climate change; Monte Carlo method; Greenhouse gas; Flow (mathematics); Surface water; Statistics; Environmental engineering; Geology; Mathematics; Aquifer; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001958932,0.0006032513,0.0005209818,0.0007635073,0.0004214933,0.001181468,0.0005724928,0.000916646,0.0005676099],"category_scores_gemma":[0.01171934,0.000527876,0.0008235984,0.0006944587,0.0007160539,0.002496814,0.0008002201,0.001153102,0.00004505547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001008571,"about_ca_system_score_gemma":0.0007461524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01198205,"about_ca_topic_score_gemma":0.006341905,"domain_scores_codex":[0.9992817,0.0002649228,0.00004802458,0.0001538587,0.0001639746,0.00008752071],"domain_scores_gemma":[0.9919971,0.006436734,0.0008590304,0.0003062021,0.0003263168,0.00007470282],"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":[0.00005017498,0.00003734211,0.02556298,0.00006235992,0.0001188225,0.0002478774,0.0001252061,0.9603066,0.003738343,0.003793966,0.000110325,0.005845953],"study_design_scores_gemma":[0.000003080201,0.00002434557,0.008863957,0.000007911218,0.00003540663,0.00004851471,0.00007702001,0.9861201,0.001270965,0.003260504,0.0002671222,0.000021129],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8992105,0.0007659706,0.09526508,0.0005094269,0.00002988914,0.00004656468,0.0003857916,0.0001323588,0.003654409],"genre_scores_gemma":[0.9964317,0.0002018986,0.003079242,0.00002384412,0.000009197042,0.00001655836,0.0000943981,0.00001674402,0.000126399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01198205,"threshold_uncertainty_score":0.02382463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03050287749871503,"score_gpt":0.2550260190705862,"score_spread":0.2245231415718712,"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."}}