{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001616522,0.0001538406,0.0001408901,0.0004666501,0.0006369763,0.001448504,0.000420807,0.0004046821,0.001821392],"category_scores_gemma":[0.001126935,0.00006919511,0.0001883742,0.001143166,0.001137722,0.0009762271,0.00108201,0.0004139997,0.0001783405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002316814,"about_ca_system_score_gemma":0.002527318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009139592,"about_ca_topic_score_gemma":0.02070851,"domain_scores_codex":[0.9992286,0.0003800047,0.00003461121,0.00005343009,0.0001510421,0.0001522905],"domain_scores_gemma":[0.9992945,0.0001328471,0.0002022208,0.00002608989,0.0002408751,0.0001034188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006183469,0.0008201993,0.2960866,0.001825838,0.0001899343,0.005326593,0.06084315,0.003758431,0.01600104,0.04227716,0.01047481,0.5617779],"study_design_scores_gemma":[0.00003473565,0.001256559,0.3961553,0.0007819701,0.00007988213,0.002367569,0.191657,0.002424184,0.01252996,0.009595568,0.3830177,0.00009956978],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9639811,0.007071621,0.0005569883,0.00814038,0.00003069325,0.00001452061,0.00006443311,0.000009753184,0.02013047],"genre_scores_gemma":[0.9891226,0.006275225,0.0003806692,0.000547691,0.00002811551,0.000005371407,0.00002797642,0.000003872954,0.003608504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009139592,"threshold_uncertainty_score":0.0181728,"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."}}