{"id":"W2890179242","doi":"10.1016/j.envres.2018.12.051","title":"Reclaimed water and food production: Cautionary tales from consumer research","year":2018,"lang":"en","type":"article","venue":"Environmental Research","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor; University of Alberta","funders":"National Institute of Food and Agriculture","keywords":"Reclaimed water; Disgust; Water scarcity; Water use; Agriculture; Irrigation; Brackish water; Environmental science; Business; Water resource management; Environmental engineering; Geography; Ecology; Psychology; Wastewater","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":[0.03807194,0.001508645,0.001788127,0.002538461,0.01108334,0.01676592,0.005988306,0.02782349,0.005693371],"category_scores_gemma":[0.07383676,0.0007461481,0.00141379,0.002291296,0.04162228,0.02398426,0.008104828,0.0469178,0.002724966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004258293,"about_ca_system_score_gemma":0.008340289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0161712,"about_ca_topic_score_gemma":0.03449193,"domain_scores_codex":[0.9812251,0.008699623,0.001191239,0.002626063,0.005351682,0.000906378],"domain_scores_gemma":[0.879458,0.08968558,0.002853691,0.005075312,0.01901389,0.003913498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001495825,0.0001758936,0.002018707,0.0009755979,0.0001668793,0.001231713,0.02793749,0.0002338552,0.0007055197,0.1102231,0.7775962,0.07858544],"study_design_scores_gemma":[0.00004382367,0.00006358053,0.001570487,0.001933728,0.0000681368,0.0008453793,0.03531907,0.0003225448,0.0007582099,0.1663066,0.7926064,0.0001619548],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001829448,0.0256185,0.002767347,0.9491981,0.01400527,0.00001591729,0.00003624149,0.00004897808,0.00648025],"genre_scores_gemma":[0.05040928,0.02304293,0.005858921,0.8789293,0.02874308,0.00009458994,0.00004070627,0.00025423,0.01262703],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03807194,"threshold_uncertainty_score":0.2013461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06346275092305924,"score_gpt":0.3590611731957116,"score_spread":0.2955984222726523,"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."}}