{"id":"W4210753908","doi":"10.1016/b978-0-12-822974-3.00018-5","title":"Trade-offs of wastewater irrigation","year":2022,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Wastewater Treatment and Reuse","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"United Nations University Institute for Water, Environment, and Health","funders":"","keywords":"Wastewater; Irrigation; Environmental science; Groundwater; Wastewater reuse; Contamination; Fertilizer; Business; Salinity; Natural resource economics; Water resource management; Environmental engineering; Engineering; Economics; Agronomy; 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":[0.001300846,0.0005900616,0.0007506966,0.0007933952,0.0007266939,0.006787257,0.0008927768,0.003207539,0.04951812],"category_scores_gemma":[0.004172912,0.0005098102,0.0008556911,0.001276565,0.001858655,0.005347705,0.001635779,0.001819723,0.003224395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002996862,"about_ca_system_score_gemma":0.001029228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001191193,"about_ca_topic_score_gemma":0.002321475,"domain_scores_codex":[0.9990352,0.0003482847,0.00003167364,0.0001314446,0.0002988288,0.0001545566],"domain_scores_gemma":[0.9983805,0.001163735,0.000117861,0.0001247165,0.000132612,0.00008057943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002943705,0.00009546072,0.0008306584,0.0003121696,0.00004367211,0.0001780834,0.0001500955,0.01730148,0.00341515,0.839578,0.01383173,0.1239691],"study_design_scores_gemma":[0.00001613483,0.00009582904,0.001207458,0.0002329329,0.00002657962,0.0002345141,0.0005193145,0.01199991,0.001427423,0.8851708,0.09902874,0.00004032436],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0349626,0.0270678,0.02916021,0.009424825,0.0006019234,0.00003131317,0.0002722572,0.0001380826,0.8983409],"genre_scores_gemma":[0.69921,0.01901167,0.005974417,0.001104326,0.0006922719,0.00007623547,0.0001197494,0.0001928624,0.2736186],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04951812,"threshold_uncertainty_score":0.1656546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01257921995044518,"score_gpt":0.2053393009311857,"score_spread":0.1927600809807405,"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."}}