{"id":"W2023093421","doi":"10.1016/j.jenvman.2013.04.039","title":"Production of extracellular polymeric substances (EPS) by Serratia sp.1 using wastewater sludge as raw material and flocculation activity of the EPS produced","year":2013,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Flocculation; Extracellular polymeric substance; Raw material; Wastewater; Pulp and paper industry; Chemistry; Serratia; Sewage treatment; Food science; Waste management; Environmental science; Environmental engineering; Biology; Bacteria; Pseudomonas; Biofilm; Organic chemistry; Engineering","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":[0.0003673755,0.001030733,0.0006290789,0.0002049377,0.000146688,0.0004149833,0.0002626565,0.0005257875,0.0004851207],"category_scores_gemma":[0.0004646899,0.000274696,0.0008030556,0.0002611794,0.0002003742,0.0002971001,0.000358697,0.0004621344,0.0002779878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002031374,"about_ca_system_score_gemma":0.000288901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009677814,"about_ca_topic_score_gemma":0.001098252,"domain_scores_codex":[0.9996642,0.00006311852,0.00004091727,0.0000606851,0.00008370383,0.00008753083],"domain_scores_gemma":[0.9997452,0.0000790947,0.00005877741,0.00002851018,0.00004028129,0.00004815401],"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":[0.0001000671,0.00004039269,0.0003073243,0.00003937231,0.000006271192,0.00004745001,0.00001613686,0.0001234805,0.9984597,0.00001269089,0.00001099405,0.0008360453],"study_design_scores_gemma":[0.0000228394,0.001133962,0.006988786,0.000009995317,0.0000310582,0.0001669915,0.00004118535,0.0007594178,0.9903911,0.00002356071,0.0004192262,0.00001187665],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984421,0.0003214768,0.0006432206,0.00003193075,0.00002716966,0.00001285879,0.000120639,0.00002083993,0.0003797755],"genre_scores_gemma":[0.9955165,0.0003594423,0.002279202,0.00002744553,0.00001223196,0.00001269357,0.0006567391,0.00001489009,0.001121013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001030733,"threshold_uncertainty_score":0.001942873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00702628172482811,"score_gpt":0.1876766724288592,"score_spread":0.180650390704031,"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."}}