{"id":"W3168351178","doi":"10.3390/w13111564","title":"Woven-Fiber Microfiltration (WFMF) and Ultraviolet Light Emitting Diodes (UV LEDs) for Treating Wastewater and Septic Tank Effluent","year":2021,"lang":"en","type":"article","venue":"Water","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Asian Institute of Technology; Thailand Institute of Scientific and Technological Research; National Institute of Metrology, China; Bill and Melinda Gates Foundation; U.S. Department of State","keywords":"Wastewater; Septic tank; Effluent; Environmental science; Microfiltration; Coliphage; Turbidity; Kjeldahl method; Environmental engineering; Pulp and paper industry; Greywater; Waste management; Chemistry; Bacteriophage; Membrane; Biology; Engineering; Nitrogen; Escherichia coli; Ecology","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":[0.0002355226,0.0001689051,0.0001680822,0.00002582065,0.0001890674,0.0001476945,0.00009087647,0.0001036949,0.000104981],"category_scores_gemma":[0.00004069148,0.000118645,0.0000366767,0.00004593425,0.0001106886,0.0002244352,0.0002265364,0.0000916028,0.00006658495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006250304,"about_ca_system_score_gemma":0.000002318589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005464961,"about_ca_topic_score_gemma":0.000008875237,"domain_scores_codex":[0.9988439,0.00004413371,0.0002264379,0.0004133535,0.000125627,0.0003465426],"domain_scores_gemma":[0.9996306,0.00004693694,0.00003919243,0.0002237431,0.0000103867,0.00004916404],"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":[0.000008772357,0.00002247786,0.04062745,0.00004709315,0.00001250336,0.000007370077,0.00153922,0.00001578763,0.953826,0.000009245931,0.0002222068,0.003661833],"study_design_scores_gemma":[0.0003266292,0.0000466608,0.008169508,0.00004825824,0.0000259462,0.00002929807,0.0003498895,0.00006063647,0.9859307,0.0007265299,0.004091327,0.0001946162],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979655,0.0000800441,0.00006738637,0.001269182,0.00007670245,0.0001926551,0.000007305897,0.00008891253,0.0002522714],"genre_scores_gemma":[0.9857903,0.00001309321,0.01136134,0.00005936641,0.00006235921,0.00004810888,0.00002234975,0.00002210811,0.002620972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03245794,"threshold_uncertainty_score":0.4838201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01360130912213665,"score_gpt":0.2350993098605712,"score_spread":0.2214980007384345,"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."}}