{"id":"W2103771184","doi":"10.1111/j.1745-6584.2006.00277.x","title":"Seepage Face Height, Water Table Position, and Well Efficiency at Steady State","year":2007,"lang":"en","type":"article","venue":"Ground Water","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Polytechnique Montréal","funders":"","keywords":"Drawdown (hydrology); Water table; Aquifer; Position (finance); Flow (mathematics); Geotechnical engineering; Steady state (chemistry); Face (sociological concept); Geology; Well test (oil and gas); Table (database); Mechanics; Mathematics; Groundwater; Petroleum engineering; Geometry; Computer science; Physics; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000316256,0.0001804497,0.0002455546,0.0003150832,0.0002166988,0.0005500228,0.000188986,0.0003825205,0.001189458],"category_scores_gemma":[0.001294205,0.0002247414,0.0001400334,0.0002706858,0.0005315375,0.0006441358,0.0002689863,0.0001736239,0.0002644188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003596182,"about_ca_system_score_gemma":0.0002895112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001703276,"about_ca_topic_score_gemma":0.002364531,"domain_scores_codex":[0.9998933,0.00001366741,0.000005721031,0.0000185699,0.00003979888,0.00002890924],"domain_scores_gemma":[0.9993644,0.0003598492,0.0001214292,0.00003855333,0.00007920495,0.00003660083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0009131114,0.0002031498,0.09173154,0.00008702179,0.00004553755,0.0008157437,0.0002919987,0.5967674,0.2698646,0.006067972,0.0004630829,0.03274882],"study_design_scores_gemma":[0.00003407098,0.0006772454,0.1144961,0.00002015611,0.00003944741,0.0003769652,0.0003703744,0.6977498,0.1823436,0.003250251,0.0005571576,0.00008483628],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992229,0.00003976009,0.006459051,0.00001804045,0.000002333432,0.000003324081,0.00005811917,0.0000414526,0.001148826],"genre_scores_gemma":[0.9989074,0.0000247369,0.0007382203,0.000002082777,6.825683e-7,0.000002311103,0.00003127613,0.000004527251,0.000288683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001703276,"threshold_uncertainty_score":0.003979146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006087870600942488,"score_gpt":0.1967420724529996,"score_spread":0.1906542018520571,"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."}}