{"id":"W2088363536","doi":"10.1016/j.watres.2008.08.011","title":"Impact of recycling filter backwash water on organic removal in coagulation–sedimentation processes","year":2008,"lang":"en","type":"article","venue":"Water Research","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":69,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Turbidity; Raw water; Dissolved organic carbon; Sedimentation; Coagulation; Water treatment; Water quality; Total organic carbon; Chemistry; Organic matter; Pulp and paper industry; Environmental chemistry; Surface water; Environmental science; Absorbance; Environmental engineering; Chromatography; Geology","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":["insufficient_payload"],"category_scores_codex":[0.0004269174,0.000101812,0.0001093699,0.0001639628,0.0001462633,0.00002228579,0.0001023697,0.0000552061,0.004476232],"category_scores_gemma":[0.00002416674,0.00005594693,0.00003926969,0.0002743566,0.0001222098,0.0003160434,0.00009497372,0.0001265514,0.001666463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003354258,"about_ca_system_score_gemma":0.00001491291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00131817,"about_ca_topic_score_gemma":0.0001565545,"domain_scores_codex":[0.9985163,0.0001295286,0.0002020913,0.0002589182,0.0005022073,0.0003909948],"domain_scores_gemma":[0.9997051,0.00002328708,0.00001682715,0.0001669653,0.00003297415,0.00005483264],"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":[0.0001576508,0.0002737843,0.5158761,0.00001472142,0.000009864183,0.00002992149,0.003452752,0.001296305,0.4781766,7.025938e-7,0.0003750076,0.0003366052],"study_design_scores_gemma":[0.0006197359,0.0003580069,0.273642,0.00001881522,0.000002506124,0.00001620392,0.00003160243,0.000104327,0.7246501,0.0003711899,0.00009939696,0.00008601009],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958827,0.000003937249,0.00001063915,0.0001172012,0.00002900067,0.0002749397,0.000001588185,0.00001634166,0.003663607],"genre_scores_gemma":[0.9980097,0.00001384449,0.00007262696,0.000007885348,0.00003108092,0.00001870764,0.00007006792,0.00001426966,0.001761833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2464735,"threshold_uncertainty_score":0.9991109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08264923133757508,"score_gpt":0.3581397446087107,"score_spread":0.2754905132711357,"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."}}