{"id":"W1984328893","doi":"10.1007/s11270-008-9874-x","title":"Reuse of Domestic Greywater for the Irrigation of Food Crops","year":2008,"lang":"en","type":"article","venue":"Water Air & Soil Pollution","topic":"Wastewater Treatment and Reuse","field":"Environmental Science","cited_by":141,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Greywater; Fecal coliform; Irrigation; Environmental science; Reuse; Tap water; Toxicology; Environmental engineering; Water quality; Agronomy; Biology; Wastewater; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001228675,0.0001057047,0.0001217858,0.00002848269,0.0001506641,0.000003560904,0.0002095192,0.00005250267,0.00009857101],"category_scores_gemma":[0.0000119126,0.00005170201,0.0000927841,0.00007157045,0.0002912211,0.000149536,0.0001087014,0.00003487039,0.00008060107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000558165,"about_ca_system_score_gemma":0.000005612511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003166344,"about_ca_topic_score_gemma":0.00008219278,"domain_scores_codex":[0.9992067,0.0000307248,0.0002272987,0.0001523192,0.0001855296,0.0001974445],"domain_scores_gemma":[0.9995077,0.00001974307,0.00007104121,0.0003573975,0.00001328889,0.0000308495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003825474,0.0005352558,0.03524029,0.00008369766,0.0001862959,0.000006295395,0.01482251,0.01937253,0.9230959,0.0001893093,0.004127249,0.001958099],"study_design_scores_gemma":[0.0008856125,0.0003703128,0.06951333,0.00001533726,0.00006569445,0.0000169907,0.00004631174,0.0003483282,0.925568,0.002326093,0.0007356181,0.0001083184],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978415,0.00002886009,0.0003177725,0.001070291,0.0001281403,0.0002980903,0.00001762746,0.00001624544,0.000281445],"genre_scores_gemma":[0.9982042,0.00001287706,0.0003720587,0.00004203929,0.00003620201,0.00003087168,0.0000180167,0.00001129544,0.001272448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03427304,"threshold_uncertainty_score":0.2108347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459645118627068,"score_gpt":0.2091815979573652,"score_spread":0.1945851467710946,"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."}}