{"id":"W2974437473","doi":"10.1680/jenes.19.00029","title":"Wastewater reuse in Jordan and its potential as an adaptation measure to climate change","year":2019,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wastewater; Reuse; Environmental science; Irrigation; Water scarcity; Agriculture; Climate change; Per capita; Water resources; Water resource management; Resource (disambiguation); Sewage treatment; Natural resource economics; Environmental engineering; Waste management; Geography; Ecology; Economics; Engineering; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004526546,0.0001162232,0.0001354609,0.0001241787,0.00007477184,0.00003555297,0.0002167471,0.00002721821,0.00004329918],"category_scores_gemma":[0.0000207565,0.00009652692,0.00001701734,0.0001328772,0.00007677502,0.0009246522,0.0003253902,0.00009546421,0.0000226766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001172535,"about_ca_system_score_gemma":0.000003270841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002843948,"about_ca_topic_score_gemma":0.00001001447,"domain_scores_codex":[0.9988821,0.00001531599,0.0001906342,0.0002225268,0.0004183017,0.0002711692],"domain_scores_gemma":[0.9996212,0.000008211246,0.00005846783,0.0001176557,0.000002801782,0.0001917248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004586379,0.00005865701,0.003229728,0.000008692142,0.000004197278,0.00003438905,0.003259428,0.03359112,0.9576433,0.0001652148,0.00000267213,0.001956789],"study_design_scores_gemma":[0.001708846,0.002473291,0.8155223,0.0002476576,0.00003343063,0.0007512317,0.003293247,0.09278572,0.08117022,0.0006489843,0.0005572045,0.0008078438],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992566,0.0001244665,0.00001577051,0.000158717,0.000140263,0.00008245375,0.000003519576,0.000004459721,0.0002137515],"genre_scores_gemma":[0.9988025,0.00007081217,0.0009908358,0.00006232684,0.00003284595,0.000002805098,2.097985e-7,0.000009054861,0.00002854038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.876473,"threshold_uncertainty_score":0.3936253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063822356100708,"score_gpt":0.1880404043165962,"score_spread":0.1774021807555892,"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."}}