{"id":"W2083215723","doi":"10.1061/(asce)1090-025x(2007)11:4(240)","title":"Isolation, Characterization, and Identification of Bacteria from Activated Sludge and Soluble Microbial Products in Wastewater Treatment Systems","year":2007,"lang":"en","type":"article","venue":"Practice Periodical of Hazardous Toxic and Radioactive Waste Management","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; GDG Environnement; Université de Sherbrooke","funders":"","keywords":"Activated sludge; Sewage treatment; Wastewater; Effluent; Population; Context (archaeology); Biology; Microorganism; Pulp and paper industry; Isolation (microbiology); Microbial population biology; Environmental science; Waste management; Bacteria; Biotechnology; Microbiology; Environmental engineering; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004508517,0.0002291016,0.0003494691,0.0001264103,0.0001278529,0.0001020928,0.00007591538,0.00008330941,0.00003406622],"category_scores_gemma":[0.00002734616,0.000187579,0.00002772833,0.000188252,0.0003321985,0.0006322782,0.000138252,0.00007360175,0.000004877814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001608281,"about_ca_system_score_gemma":0.00001230997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005742123,"about_ca_topic_score_gemma":0.0000233305,"domain_scores_codex":[0.9983185,0.0001349651,0.0005714659,0.000491911,0.0002364631,0.0002466906],"domain_scores_gemma":[0.9991844,0.00009023939,0.0003940355,0.000203982,0.00002710021,0.0001002585],"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":[0.0008050676,0.0004554569,0.006783228,0.00007427952,0.000216059,0.00002626818,0.003006374,0.00002167766,0.9817041,0.00004204252,0.00001192667,0.00685358],"study_design_scores_gemma":[0.003674734,0.0005812093,0.1833991,0.00009603058,0.0004795903,0.00007611558,0.005683849,0.001058657,0.7999506,0.00002380072,0.004552214,0.0004241269],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975998,0.0002241867,0.0006838753,0.0003997935,0.000141165,0.0007759839,0.00002939282,0.0000125523,0.0001332232],"genre_scores_gemma":[0.9950507,0.0004369192,0.003917877,0.00001838315,0.00004051831,0.00001965946,0.00007063799,0.00001687113,0.0004284423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1817534,"threshold_uncertainty_score":0.7649249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009330820501592384,"score_gpt":0.2193739306942617,"score_spread":0.2100431101926693,"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."}}