{"id":"W2129997917","doi":"10.3390/w6082300","title":"A System Dynamics Model to Conserve Arid Region Water Resources through Aquifer Storage and Recovery in Conjunction with a Dam","year":2014,"lang":"en","type":"article","venue":"Water","topic":"Water resources management and optimization","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Calgary","funders":"","keywords":"Aquifer; Conjunction (astronomy); Arid; Environmental science; Hydrology (agriculture); Water storage; Water resources; Water resource management; Groundwater; Geology; Geotechnical engineering; Geomorphology; Ecology","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":[0.0004901679,0.0006608359,0.0006069102,0.000413256,0.000506768,0.000968798,0.0007446152,0.0009528652,0.002974429],"category_scores_gemma":[0.0006959411,0.0003548573,0.0006090524,0.000411745,0.0004241505,0.0007242696,0.0006938633,0.0008031368,0.0002402172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001198976,"about_ca_system_score_gemma":0.001806573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03400937,"about_ca_topic_score_gemma":0.02312984,"domain_scores_codex":[0.9998454,0.00005219298,0.000007067157,0.00003724267,0.00002565074,0.00003255294],"domain_scores_gemma":[0.9997557,0.0001149518,0.00004509579,0.000006201265,0.00006026414,0.00001779416],"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":[0.00001383772,0.00001202085,0.0005393745,0.00001720162,0.00001171076,0.00003570778,0.00002437256,0.9957393,0.0003246361,0.002003351,0.0001733715,0.001105116],"study_design_scores_gemma":[0.000008720285,0.00001506956,0.0001786593,0.000002364663,0.000006946155,0.00000408267,0.00001787201,0.998941,0.00006089828,0.000466022,0.000295716,0.000002676253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3989498,0.000688385,0.5497161,0.001591821,0.0001647739,0.0003511202,0.00179429,0.0005883505,0.0461554],"genre_scores_gemma":[0.9809397,0.0002794919,0.01188771,0.00004318343,0.00001539328,0.0002613632,0.0002550408,0.00001956196,0.006298502],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03400937,"threshold_uncertainty_score":0.06762284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007894716604863976,"score_gpt":0.1637833469026553,"score_spread":0.1558886302977913,"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."}}