{"id":"W3092024966","doi":"10.1016/j.biortech.2020.124223","title":"Acclimatization of microbial community of submerged membrane bioreactor treating hospital wastewater","year":2020,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre de Recherche Industrielle du Québec; Université de Montréal; GDG Environnement; Armand Frappier Museum; Centre Hospitalier de l’Université de Montréal; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Acclimatization; Wastewater; Microbial population biology; Bioreactor; Biology; Sewage treatment; Environmental science; Pulp and paper industry; Environmental engineering; Ecology; Bacteria; Botany; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009115841,0.0001589735,0.0002846302,0.00008617507,0.00007915303,0.000004782376,0.0003784173,0.0001674397,0.0003203417],"category_scores_gemma":[0.00005521518,0.000131785,0.00008019782,0.0004839401,0.0004365257,0.00006454031,0.0003333227,0.0001561851,0.00005382099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003674135,"about_ca_system_score_gemma":0.000004878476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002755593,"about_ca_topic_score_gemma":0.00001880966,"domain_scores_codex":[0.9990548,0.00007461438,0.0003295455,0.0001830237,0.0001368155,0.0002211411],"domain_scores_gemma":[0.9994099,0.00002053155,0.0002173041,0.000285059,0.00001257153,0.00005462334],"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":[0.00004377089,0.0001698227,0.09769114,0.00002473961,0.00002799505,0.000002435973,0.001420551,0.00001433863,0.89961,0.00001710441,0.00007889551,0.0008992017],"study_design_scores_gemma":[0.0006188623,0.0004478232,0.005649603,0.00001321863,0.00003895862,0.000003946845,0.0008039135,0.000105575,0.9918641,0.00003366993,0.0002971707,0.0001231314],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986155,0.00002165623,0.0000193008,0.0006834876,0.00002424524,0.0002167741,0.00002774323,0.0001079112,0.0002833758],"genre_scores_gemma":[0.9957964,0.000004948377,0.004081116,0.00002081659,0.00001411568,0.000006027766,0.00003448903,0.00001816,0.000023878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09225412,"threshold_uncertainty_score":0.5374038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01196386660741686,"score_gpt":0.1995156340377517,"score_spread":0.1875517674303348,"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."}}