{"id":"W3003150073","doi":"10.1111/gwat.12981","title":"A Type‐Curve Method for the Analysis of Pumping Tests with Piecewise‐Linear Pumping Rates","year":2020,"lang":"en","type":"article","venue":"Ground Water","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Aquifer; Dimensionless quantity; Drawdown (hydrology); Aquifer properties; Piecewise; Mathematics; Variable (mathematics); Piecewise linear function; Hydraulic conductivity; Soil science; Statistics; Groundwater; Geology; Geotechnical engineering; Mathematical analysis; Mechanics; Physics","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":[0.004019215,0.001243212,0.0007689309,0.003262205,0.00041625,0.0009072652,0.002000249,0.0011607,0.002734368],"category_scores_gemma":[0.01919354,0.0005651757,0.001856955,0.002176632,0.0008319819,0.001612087,0.0009351688,0.001966244,0.0009349515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007873834,"about_ca_system_score_gemma":0.0009897612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003955971,"about_ca_topic_score_gemma":0.001935764,"domain_scores_codex":[0.9980713,0.0008235037,0.0001439617,0.0003450663,0.0004998338,0.0001163749],"domain_scores_gemma":[0.9860678,0.008513277,0.001319502,0.001652239,0.002272042,0.0001751405],"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":[0.0002740825,0.0001841683,0.01366503,0.0005153148,0.0002211704,0.0003117142,0.0004419211,0.5671305,0.0286416,0.01903253,0.002615647,0.3669663],"study_design_scores_gemma":[0.000003362961,0.00002687728,0.0009043064,0.0000101189,0.00000899213,0.0000463348,0.00002238853,0.9926903,0.00283789,0.002397761,0.001030545,0.00002118031],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006959008,0.00004731518,0.991881,0.00001724617,0.00001528668,0.00005350923,0.00008988712,0.0006424041,0.0002943499],"genre_scores_gemma":[0.2591519,0.0002049707,0.7367766,0.00006636381,0.0000403833,0.000518746,0.000615436,0.000563412,0.002062295],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004019215,"threshold_uncertainty_score":0.02125591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03520510594056193,"score_gpt":0.2852605175142905,"score_spread":0.2500554115737286,"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."}}