{"id":"W2083608513","doi":"10.3390/w6123957","title":"Correction: Niazi, A., Prasher, S.O., Adamowski, J., Gleeson, T. A System Dynamics Model to Conserve Arid Region Water Resources through Aquifer Storage and Recovery in Conjunction with a Dam. Water 2014, 6, 2300–2321","year":2014,"lang":"en","type":"article","venue":"Water","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Calgary","funders":"","keywords":"Aquifer; Arid; Conjunction (astronomy); Environmental science; Hydrology (agriculture); Water resources; Engineering; Groundwater; Geotechnical engineering; Geology; Physics","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":[0.007631221,0.002852811,0.002900146,0.004956542,0.004157187,0.005572974,0.005628944,0.004723451,0.07048682],"category_scores_gemma":[0.1462318,0.001331348,0.002148041,0.005238849,0.002466608,0.003912887,0.003743318,0.01013599,0.04494929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005150697,"about_ca_system_score_gemma":0.01055587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03294655,"about_ca_topic_score_gemma":0.02897342,"domain_scores_codex":[0.9905579,0.001144106,0.001802248,0.001302793,0.004645173,0.0005478244],"domain_scores_gemma":[0.8700771,0.01479277,0.005734056,0.007225619,0.09884083,0.003329655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001558493,0.000003404894,0.00005594628,0.0001222497,0.000009944709,0.00009793972,0.00006265154,0.00005239237,0.00004578682,0.0004909027,0.9961346,0.002908485],"study_design_scores_gemma":[0.00003372705,0.00001230479,0.000742594,0.0004287979,0.00004015179,0.0003291519,0.0001944325,0.0004147695,0.0003570682,0.001394178,0.9959972,0.00005564013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.0002341476,0.0008311137,0.002484727,0.03163726,0.9582918,0.00003718481,0.004141014,0.0007356275,0.001607084],"genre_scores_gemma":[0.04367571,0.01387,0.03043792,0.1023238,0.4763013,0.0007077322,0.02647015,0.01163722,0.2945762],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07048682,"threshold_uncertainty_score":0.2358019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007279897684721173,"score_gpt":0.1834261918432295,"score_spread":0.1761462941585083,"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."}}