{"id":"W4292377165","doi":"10.1016/b978-0-323-85421-4.00006-1","title":"Modular drinking water treatment system using ozonation and UV","year":2022,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Modular design; Water treatment; Potable water; Bottleneck; Water disinfection; Sterilization (economics); Raw water; Waste management; Environmental science; Process engineering; Computer science; Environmental engineering; Engineering; Embedded system; Business","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":[0.00005982457,0.0004055643,0.0001839364,0.0002608849,0.0001645451,0.0002508159,0.0003977002,0.0002600111,0.003352531],"category_scores_gemma":[0.00004038596,0.0001915712,0.0002895407,0.0002106128,0.0001030746,0.0002475629,0.0002414415,0.0003246339,0.001193357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001859704,"about_ca_system_score_gemma":0.0002070884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004357504,"about_ca_topic_score_gemma":0.0007858134,"domain_scores_codex":[0.9999552,0.000001999528,0.00000189606,0.00001251946,0.00002083339,0.000007532929],"domain_scores_gemma":[0.9999837,0.000002459878,0.000003318903,0.000002590089,0.00000470854,0.000003244179],"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":[0.00007996941,0.00006137868,0.0003080079,0.0001205838,0.00000807115,0.00005737404,0.00003532387,0.0005819089,0.9401303,0.0008093785,0.00137944,0.05642819],"study_design_scores_gemma":[0.00002466717,0.0008246099,0.006372191,0.00001975125,0.00006003938,0.0005279861,0.00002545672,0.004883137,0.9311808,0.0005135984,0.05554593,0.00002175988],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7009428,0.003340372,0.2345779,0.0003171131,0.0004598135,0.0002719157,0.001167475,0.006764289,0.05215837],"genre_scores_gemma":[0.7763583,0.002462116,0.08745879,0.0002613134,0.00008453416,0.0001777083,0.001455528,0.000268962,0.1314728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003352531,"threshold_uncertainty_score":0.01121533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01580830854576543,"score_gpt":0.2067077614566031,"score_spread":0.1908994529108377,"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."}}