{"id":"W2170374809","doi":"10.1139/w02-006","title":"Detecting structural and functional differences in activated sludge bacterial communities originating from laboratory treatment of elementally and totally chlorine-free bleaching effluents","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Microbiology","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Proteobacteria; Activated sludge; Effluent; Biology; Bacteria; Substrate (aquarium); In situ; Microbial population biology; Microbiology; Food science; Biochemistry; Sewage treatment; Chemistry; Ecology; 16S ribosomal RNA; Genetics; Environmental 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":[0.0002759705,0.0003225097,0.0002959311,0.0004212965,0.0001648121,0.0003435473,0.0001562341,0.0003450846,0.0002305082],"category_scores_gemma":[0.0005099322,0.0001816625,0.0002168529,0.0003072207,0.0002812524,0.0001778,0.0002287619,0.0002365989,0.00008186864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001540791,"about_ca_system_score_gemma":0.0002430052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001466564,"about_ca_topic_score_gemma":0.001449804,"domain_scores_codex":[0.9997227,0.0000482756,0.00002978744,0.00007858189,0.00007759325,0.00004310197],"domain_scores_gemma":[0.9997148,0.00006873395,0.00007553989,0.00001932071,0.00007350766,0.0000479985],"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":[0.0000606018,0.00001351425,0.00217238,0.00001643879,0.000002703729,0.000009097785,0.00004964255,0.0000243106,0.9970247,0.000004780896,0.000001675805,0.0006201451],"study_design_scores_gemma":[0.00001501286,0.001138207,0.2671731,0.00001352241,0.00006852683,0.0003890939,0.0004754934,0.001053221,0.7292238,0.00006029993,0.0003680797,0.00002171804],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992669,0.00005870925,0.0004775375,0.00000576595,0.00000118534,0.000006663801,0.00007335179,0.000005403644,0.0001043985],"genre_scores_gemma":[0.9961649,0.000152262,0.002782045,0.00002142124,0.000004075473,0.00003863775,0.0004467699,0.000006156035,0.0003837281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001466564,"threshold_uncertainty_score":0.002916098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01672428894906259,"score_gpt":0.189165872525102,"score_spread":0.1724415835760394,"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."}}