{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001296985,0.0001582286,0.000165565,0.0001218696,0.00004547529,0.0001074745,0.00006719107,0.00005762002,0.000003375758],"category_scores_gemma":[0.000001483005,0.00009696855,0.00001772381,0.00005457868,0.00001934375,0.0002552662,0.00005198034,0.00007898768,0.00002671411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001006082,"about_ca_system_score_gemma":8.100787e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000087445,"about_ca_topic_score_gemma":0.0001720413,"domain_scores_codex":[0.9992278,0.00003289349,0.0001694498,0.000212559,0.0001024797,0.0002547721],"domain_scores_gemma":[0.9997405,0.000006082915,0.00001273152,0.000183472,0.00001823464,0.00003893712],"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":[0.0001280752,0.000007734682,0.0008320655,0.0001986242,0.00002276043,0.00001112032,0.003800593,0.9942703,0.0002496123,0.0001123438,0.0002665466,0.0001002052],"study_design_scores_gemma":[0.0005479109,0.00008726523,0.0001234703,0.0001113975,0.00002241464,0.00001047325,0.0002106925,0.9932982,0.001785625,0.0001070249,0.003473745,0.0002218123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8437725,0.000007827891,0.1525492,0.0002004901,0.00008096186,0.0002532885,0.000001399756,0.0001716137,0.002962732],"genre_scores_gemma":[0.9975442,0.000004748433,0.0009364983,0.0001194547,0.00004152688,0.00003636931,0.00004997461,0.0000412182,0.001226055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1537717,"threshold_uncertainty_score":0.3954263,"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."}}