{"id":"W2522577142","doi":"10.2166/wqrjc.2016.022","title":"Water reuse through managed aquifer recharge (MAR): assessment of regulations/guidelines and case studies","year":2016,"lang":"en","type":"article","venue":"Water Quality Research Journal","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Groundwater recharge; Reclaimed water; Reuse; Context (archaeology); Aquifer; Water resource management; Environmental science; Water scarcity; Water resources; Environmental planning; Groundwater; Engineering; Waste management; Geology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009008191,0.0001536096,0.0003061616,0.0001223155,0.0006175325,0.0001555501,0.0003343094,0.00007971197,0.001829069],"category_scores_gemma":[0.0004259954,0.00006368156,0.00009239104,0.0000898528,0.0004215635,0.0006241309,0.0001817433,0.0003595529,0.00005563356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002449171,"about_ca_system_score_gemma":0.00004783953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007405924,"about_ca_topic_score_gemma":0.0002144104,"domain_scores_codex":[0.99646,0.001030456,0.0007446434,0.0003018375,0.000804706,0.0006583162],"domain_scores_gemma":[0.998137,0.0003077581,0.00007104798,0.0004600697,0.0008407178,0.0001834128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005818815,0.0001971414,0.7110808,0.0009019572,0.001078107,0.003411994,0.01492418,0.00006218958,0.1907215,0.0003289816,0.03079245,0.04591876],"study_design_scores_gemma":[0.007042237,0.001437432,0.1515113,0.001072714,0.0001672823,0.01850287,0.01817934,0.0005697241,0.5095975,0.2248436,0.06536834,0.001707661],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882889,0.0004679134,0.0002614071,0.009752982,0.0001590473,0.0001477779,0.00004219685,0.00001387264,0.0008659484],"genre_scores_gemma":[0.9917507,0.000876768,0.003027689,0.00007398935,0.0002603144,0.000002614989,0.00002046379,0.000005465445,0.003981966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5595696,"threshold_uncertainty_score":0.9990834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3172649785935668,"score_gpt":0.4661585242082419,"score_spread":0.1488935456146751,"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."}}