{"id":"W2138091633","doi":"10.7202/705152ar","title":"Biodegradable dissolved organic carbon removal during biological filtration on granular actived carbon","year":2005,"lang":"en","type":"article","venue":"Revue des sciences de l eau","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Filtration (mathematics); Dissolved organic carbon; Pulp and paper industry; Adsorption; Biomass (ecology); Chemistry; Organic matter; Sand filter; Filter (signal processing); Water treatment; Environmental science; Environmental chemistry; Total organic carbon; Environmental engineering; Slow sand filter; Activated carbon; Carbon fibers; Chromatography; Wastewater; Ecology; Biology; Materials science; Organic chemistry; Mathematics","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":[0.0003179086,0.0007695158,0.0009541657,0.000663636,0.0007531716,0.00150134,0.0004126089,0.0005930603,0.000472087],"category_scores_gemma":[0.0003998533,0.0001955954,0.0006252031,0.0006906754,0.0004596073,0.0003989074,0.0004444835,0.000533791,0.000242152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00123054,"about_ca_system_score_gemma":0.000719653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01596592,"about_ca_topic_score_gemma":0.01495434,"domain_scores_codex":[0.9994723,0.00004663473,0.00002443116,0.00010552,0.0002032664,0.0001477984],"domain_scores_gemma":[0.9997489,0.00004488044,0.00005366376,0.00001591503,0.00007069862,0.00006600711],"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":[0.0001886815,0.00004942658,0.0008562382,0.0001527181,0.00001447714,0.0001455317,0.00006193389,0.0005398198,0.9948452,0.00002504466,0.00002761136,0.003093327],"study_design_scores_gemma":[0.00002254166,0.0006650708,0.013252,0.00001759202,0.00003337882,0.00009613406,0.000117756,0.001523918,0.9832772,0.00002632075,0.000948418,0.00001978975],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985651,0.0003748485,0.0005134597,0.00001745479,0.00001499277,0.0000326741,0.000103968,0.00001890992,0.0003585837],"genre_scores_gemma":[0.9974252,0.0003754906,0.00111399,0.00002416215,0.000009116755,0.00002273593,0.0001791351,0.00001305191,0.0008370354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01596592,"threshold_uncertainty_score":0.03174603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04603838536290202,"score_gpt":0.2568671471062616,"score_spread":0.2108287617433596,"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."}}