{"id":"W2134495960","doi":"10.1139/s06-036","title":"An innovative process for the treatment of high loaded surface waters for small communities","year":2007,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trihalomethane; Turbidity; Raw water; Filtration (mathematics); Environmental science; Water treatment; Chlorine; Water quality; Dissolved organic carbon; Powdered activated carbon treatment; Surface water; Pulp and paper industry; Environmental engineering; Activated carbon; Waste management; Chemistry; Environmental chemistry; Adsorption; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006554349,0.0004818977,0.0003901443,0.0008157786,0.0007131742,0.0006388162,0.0005792574,0.000713612,0.001463239],"category_scores_gemma":[0.0005097868,0.0001590473,0.000422981,0.0005580051,0.0006860923,0.0005597688,0.0007780342,0.0006941752,0.0002658465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001199611,"about_ca_system_score_gemma":0.001150828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007977546,"about_ca_topic_score_gemma":0.01612474,"domain_scores_codex":[0.9995395,0.0000498286,0.0000179746,0.00008181609,0.0002522181,0.00005866403],"domain_scores_gemma":[0.9997571,0.00004700034,0.00005149489,0.0000307398,0.00006283118,0.00005089151],"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":[0.0001948545,0.0001984734,0.0009931991,0.0004256672,0.00002662777,0.0001945611,0.0001488721,0.0008986166,0.9295948,0.00104109,0.0004337486,0.06584969],"study_design_scores_gemma":[0.0002097147,0.003187821,0.01750957,0.00007729259,0.000156307,0.002634402,0.0002297379,0.007043197,0.9223916,0.0006207976,0.04584705,0.0000925432],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7246136,0.007629897,0.258389,0.0007494334,0.0002578759,0.001049445,0.0004912329,0.0007223218,0.006097276],"genre_scores_gemma":[0.8320954,0.002208055,0.155999,0.0002322377,0.00005482914,0.0003578048,0.0004776785,0.00004199336,0.008532922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007977546,"threshold_uncertainty_score":0.01586223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01591107050414758,"score_gpt":0.2293397532860106,"score_spread":0.2134286827818631,"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."}}