{"id":"W3195475711","doi":"10.32920/ryerson.14651919.v1","title":"Developing a standard methodology for testing field performance of residential greywater reuse systems: case study of a greywater reuse system installed in 23 homes in Southern Ontario","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Wastewater Treatment and Reuse","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Greywater; Reuse; Shower; Environmental science; Subsidy; Single-family detached home; Engineering; Environmental engineering; Civil engineering; Waste management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001593245,0.0004776523,0.001400655,0.0003548746,0.00008204044,0.00007394242,0.0008773379,0.0003955821,0.0000618585],"category_scores_gemma":[0.0002854848,0.0003603906,0.0001340556,0.000285041,0.00008054852,0.0001939347,0.003503071,0.0004298902,0.000004107811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001267448,"about_ca_system_score_gemma":0.000232758,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4670746,"about_ca_topic_score_gemma":0.6582195,"domain_scores_codex":[0.9959041,0.000597424,0.001639439,0.0008997098,0.0004466779,0.0005126221],"domain_scores_gemma":[0.9973195,0.0004884275,0.0005884749,0.001450209,0.00008577866,0.00006767628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008217398,0.0002915778,0.8692486,0.002192288,0.0002233466,0.002351392,0.1123069,0.01086279,0.001570096,0.000002741437,0.0000163955,0.0001121636],"study_design_scores_gemma":[0.03244774,0.008469742,0.06344397,0.01990444,0.001314045,0.0033218,0.7732921,0.006220703,0.08684931,0.0002950776,0.00004832657,0.004392758],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965071,0.00004975451,0.000250407,0.00004503693,0.0003845702,0.002612427,0.00002125884,0.00003791638,0.00009151384],"genre_scores_gemma":[0.9568256,0.000006127829,0.04148312,0.000006092503,0.00002435004,0.0003744263,0.0000215612,0.00004269964,0.001216026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8058046,"threshold_uncertainty_score":0.9998848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09583687873700293,"score_gpt":0.2944316591861841,"score_spread":0.1985947804491812,"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."}}