{"id":"W3091889744","doi":"10.1680/jenes.20.00022","title":"Optimisation for enhancing sludge dewaterability using different conditioners","year":2020,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Coagulation and Flocculation Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Alum; Dewatering; Conditioning; Pulp and paper industry; Filtration (mathematics); Lime; Ferric; Conditioners; Chemistry; Waste management; Materials science; Mathematics; Metallurgy; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0006916608,0.0008692991,0.0007320194,0.0006485861,0.0001971042,0.0008189033,0.0004676411,0.0008032856,0.001522508],"category_scores_gemma":[0.001165013,0.0002637903,0.0006700257,0.0006315109,0.0002894825,0.0006508476,0.0003822356,0.0006332784,0.0003450326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003432519,"about_ca_system_score_gemma":0.0003339225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008199508,"about_ca_topic_score_gemma":0.001243658,"domain_scores_codex":[0.9992743,0.0001256754,0.00008972397,0.0001634845,0.0002604291,0.00008640132],"domain_scores_gemma":[0.9996089,0.0001418429,0.0001254394,0.00002149368,0.00006970598,0.00003262508],"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":[0.0004449136,0.0001890214,0.0002992226,0.0003855847,0.00001906248,0.00004839914,0.00002972333,0.001402408,0.9894852,0.00005889285,0.00004350947,0.007593923],"study_design_scores_gemma":[0.00004369597,0.002058348,0.003103842,0.00003311503,0.00007480145,0.00006854635,0.00004485629,0.002716899,0.9898892,0.00003507766,0.001905364,0.00002621434],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988741,0.00184464,0.007534838,0.00008460012,0.00003778175,0.0001874097,0.0001844203,0.00012304,0.001262204],"genre_scores_gemma":[0.9739008,0.002137219,0.02140219,0.00005726669,0.00001629029,0.0001978906,0.0002652279,0.00004146098,0.001981714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001522508,"threshold_uncertainty_score":0.005093336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0206757987026591,"score_gpt":0.2298709076224969,"score_spread":0.2091951089198378,"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."}}