{"id":"W90182387","doi":"10.1023/a:1022894531638","title":"Secondary Effluent Treatment by Slow Sand Filters: Performance and Risk Analysis","year":2003,"lang":"en","type":"article","venue":"Water Air & Soil Pollution","topic":"Wastewater Treatment and Reuse","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland; Institute for Biological Sciences","funders":"Natural Sciences and Engineering Research Council of Canada; King Abdulaziz City for Science and Technology; King Fahd University of Petroleum and Minerals; U.S. Environmental Protection Agency","keywords":"Environmental science; Effluent; Filtration (mathematics); Environmental engineering; Linear regression; Statistics; Mathematics; Regression analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008570636,0.0005389079,0.0007049919,0.0006657696,0.0003516987,0.0006529814,0.0003421466,0.000619303,0.0007537014],"category_scores_gemma":[0.001027312,0.0001526801,0.0009124912,0.0003669733,0.0002070393,0.0002400304,0.000220944,0.0002130931,0.0001538083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008387819,"about_ca_system_score_gemma":0.0004306919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005819229,"about_ca_topic_score_gemma":0.004422038,"domain_scores_codex":[0.9996312,0.0001251126,0.0000197164,0.00003492722,0.0001405462,0.00004867558],"domain_scores_gemma":[0.9988338,0.0005265263,0.0002913236,0.00006042007,0.0002189591,0.00006892547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0178272,0.001291764,0.1135319,0.0005278604,0.0004484167,0.0003116994,0.0003195282,0.05224837,0.735661,0.0006966754,0.0006879235,0.07644767],"study_design_scores_gemma":[0.0001780209,0.02105838,0.06612481,0.00003076763,0.0006525645,0.0006720541,0.0002090434,0.07083828,0.8380558,0.0005055655,0.001618729,0.00005592277],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972236,0.0003470918,0.002048667,0.00001889057,0.000003556325,0.00001119353,0.00003777706,0.00001456027,0.0002947263],"genre_scores_gemma":[0.9980247,0.0003960223,0.0007538019,0.000009751075,0.000004369735,0.000006922887,0.00005434674,0.000005109721,0.0007448639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005819229,"threshold_uncertainty_score":0.01157069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003824274845933206,"score_gpt":0.1746505290422831,"score_spread":0.1708262541963499,"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."}}