{"id":"W3212356237","doi":"10.1115/detc2021-67697","title":"The Development and Testing of Pour-Flush Toilet Sensors for Understanding User Interaction in Peri-Urban Households","year":2021,"lang":"en","type":"article","venue":"","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Sanitation; Toilet; Open defecation; Shower; Sewerage; Urbanization; Work (physics); Computer science; Environmental science; Environmental economics; Environmental engineering; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002875707,0.00006079565,0.00006937975,0.00001557412,0.0001106701,0.00003417502,0.00007877226,0.00003548077,0.000009987573],"category_scores_gemma":[0.0002699006,0.00004516009,0.00001100325,0.0001138899,0.00007926414,0.00009186828,0.0001900563,0.00005891479,0.000002203394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002918024,"about_ca_system_score_gemma":0.00001038731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008311179,"about_ca_topic_score_gemma":0.0002433653,"domain_scores_codex":[0.9994171,0.00002398081,0.000174437,0.0001481857,0.00009646145,0.0001397815],"domain_scores_gemma":[0.9994762,0.0003465875,0.00004455777,0.0001132324,0.000005601459,0.00001382215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001662312,0.00004337446,0.9333605,0.00002950132,0.00001263538,0.00000431294,0.003028902,0.0005168371,0.05273958,0.001645311,0.0008014958,0.007801002],"study_design_scores_gemma":[0.0003652707,0.00004218223,0.1473987,0.00008410617,0.000005705489,0.0000099164,0.0273471,0.001010997,0.8132972,0.003898173,0.006335665,0.0002050484],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970915,0.0000084339,0.001449446,0.0005411363,0.00006562507,0.00008563238,5.843081e-7,0.00005109301,0.0007065067],"genre_scores_gemma":[0.9632211,0.000002911201,0.03617528,0.00001027214,0.000007357617,0.00001056286,4.693379e-7,0.00000632951,0.0005657178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7859617,"threshold_uncertainty_score":0.1841575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1440199502559896,"score_gpt":0.2872607863800234,"score_spread":0.1432408361240338,"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."}}