{"id":"W2008510147","doi":"10.1002/cjce.21983","title":"Interaction between activated carbon and microorganisms in PACT process","year":2014,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pact; Activated sludge; Wastewater; Powdered activated carbon treatment; Activated carbon; Microorganism; Process (computing); Sewage treatment; Biomass (ecology); Chemistry; Schematic; Waste management; Carbon fibers; Pulp and paper industry; Chemical engineering; Environmental science; Process engineering; Materials science; Environmental engineering; Computer science; Organic chemistry; Bacteria; Adsorption; Ecology; Engineering; Biology","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":[0.0002057556,0.0004074191,0.0004359723,0.0003234581,0.0004507893,0.0006175452,0.0002905822,0.0006160045,0.0004462296],"category_scores_gemma":[0.0003453612,0.000208611,0.0003501558,0.0003112223,0.0003198293,0.0003552213,0.0003125959,0.0004586796,0.0001618545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004332064,"about_ca_system_score_gemma":0.0004559868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001591718,"about_ca_topic_score_gemma":0.001770951,"domain_scores_codex":[0.9995833,0.00006478447,0.00001546918,0.00006615731,0.0002027898,0.00006740619],"domain_scores_gemma":[0.9998423,0.00006379941,0.00002739617,0.000009237063,0.00003888148,0.00001840274],"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":[0.0000793194,0.00003331724,0.0003391834,0.0001099537,0.000007636337,0.0001433825,0.00002655532,0.0007502355,0.9952908,0.0001804942,0.00002804782,0.003011053],"study_design_scores_gemma":[0.0000112561,0.0002096797,0.002747872,0.000005936979,0.0000225873,0.0001882061,0.00003881585,0.006741046,0.9888166,0.0001181311,0.001088674,0.00001116818],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935482,0.001171235,0.003386547,0.0001068434,0.00002621539,0.00003672235,0.00004308018,0.00004216812,0.001638946],"genre_scores_gemma":[0.9949115,0.0005990929,0.003485659,0.00002733964,0.00001185,0.00002100443,0.00005539961,0.000007037294,0.0008812547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001591718,"threshold_uncertainty_score":0.003164947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005924106397096238,"score_gpt":0.1918953022539924,"score_spread":0.1859711958568962,"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."}}