{"id":"W3005453956","doi":"10.1016/j.watres.2020.115601","title":"Reframing human excreta management as part of food and farming systems","year":2020,"lang":"en","type":"review","venue":"Water Research","topic":"Wastewater Treatment and Reuse","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Vetenskapsrådet; Social Sciences and Humanities Research Council of Canada; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Svenska Forskningsrådet Formas","keywords":"Cognitive reframing; Framing (construction); Nutrient management; Agriculture; Food security; Sanitation; Business; Environmental resource management; Environmental planning; Resource recovery; Food systems; Natural resource economics; Environmental science; Engineering; Wastewater; Environmental engineering; Economics; Ecology; Psychology; Biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007751159,0.0002730268,0.0007639879,0.0001529044,0.0002323707,0.00011833,0.0005193923,0.0001424504,0.0003021031],"category_scores_gemma":[0.000005359285,0.0001565359,0.0001250072,0.0002246053,0.0002605692,0.00008629925,0.00175642,0.0003559399,0.0009358084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001790527,"about_ca_system_score_gemma":0.000007522313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001891705,"about_ca_topic_score_gemma":0.000008911096,"domain_scores_codex":[0.9972135,0.0003921582,0.0004486861,0.0005997358,0.0007808231,0.0005651361],"domain_scores_gemma":[0.9992463,0.0000218197,0.00007091946,0.0004845225,0.000008592041,0.0001678557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001908194,0.0002496794,0.0001527981,0.05529933,0.001251866,0.0009674627,0.002879835,0.000004977202,0.001021874,0.0008408361,0.003051621,0.9342607],"study_design_scores_gemma":[0.000141153,0.0002468629,0.000001149728,0.003106033,0.0001357487,0.0000199128,0.0001270088,0.000001778622,0.0003676435,0.00006830267,0.9956047,0.0001797304],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005279554,0.9763427,8.994172e-7,0.00004745053,0.00009735463,0.001677106,0.00001539062,0.00002998458,0.01650961],"genre_scores_gemma":[0.005411864,0.9792705,0.00004359304,0.000002251131,0.00008473111,0.0001953249,0.00006408304,0.00005197779,0.01487566],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9925531,"threshold_uncertainty_score":0.9998421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1254286438605374,"score_gpt":0.3723795923573011,"score_spread":0.2469509484967637,"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."}}