{"id":"W2136535008","doi":"10.1002/2014wr015394","title":"Semianalytical series solutions for three-dimensional groundwater-surface water interaction","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Ontario Ministry of Research and Innovation","keywords":"Series (stratigraphy); Groundwater; Surface water; Surface (topology); Geology; Hydrology (agriculture); Environmental science; Geotechnical engineering; Mathematics; Geometry; Environmental engineering","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":[0.0006306013,0.0007045674,0.0004018614,0.0006199736,0.0004522441,0.0005815917,0.0008037289,0.0007831918,0.00343624],"category_scores_gemma":[0.001856911,0.0002833199,0.0005861025,0.0004723285,0.000706266,0.0005968098,0.0007183676,0.0009116013,0.0007801073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006464294,"about_ca_system_score_gemma":0.0007247694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002872218,"about_ca_topic_score_gemma":0.002784785,"domain_scores_codex":[0.9998605,0.00005151849,0.000006855369,0.00001090842,0.00005935892,0.00001075115],"domain_scores_gemma":[0.9994715,0.0003244216,0.00004133374,0.0000411197,0.0001064753,0.00001508832],"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":[0.00001882617,0.00003542733,0.0003868108,0.0001358405,0.00001498963,0.0001147231,0.0001906013,0.8295644,0.006673426,0.1250948,0.001834575,0.03593562],"study_design_scores_gemma":[0.000002826178,0.000005926067,0.00002274902,0.000004397361,0.00000137438,0.00001593622,0.00001341842,0.9913319,0.0004983878,0.006958818,0.001140757,0.000003472431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008938341,0.0001012027,0.9853508,0.00008501692,0.00003208069,0.00003908465,0.00005756485,0.0002400524,0.005155847],"genre_scores_gemma":[0.4368687,0.0006669455,0.5391682,0.0001455941,0.00008492146,0.0005959683,0.0002187916,0.0005280787,0.0217229],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00343624,"threshold_uncertainty_score":0.01149535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0531452581773734,"score_gpt":0.3072760697391421,"score_spread":0.2541308115617687,"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."}}