{"id":"W4402045994","doi":"10.1016/j.chemosphere.2024.143224","title":"Changes in microbial communities during high-rate microbial selenate reduction in an up-flow anaerobic fluidized bed reactor","year":2024,"lang":"en","type":"article","venue":"Chemosphere","topic":"Selenium in Biological Systems","field":"Nursing","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"China Scholarship Council; Commonwealth Scientific and Industrial Research Organisation; Government of Ontario","keywords":"Methanobacterium; Hydraulic retention time; Microbial population biology; Effluent; Fluidized bed; Geobacter; Biofilm; Chemistry; Pulp and paper industry; Klebsiella oxytoca; Environmental chemistry; Microbiology; Biology; Environmental engineering; Environmental science; Bacteria; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004066337,0.0005529117,0.000805535,0.0002850363,0.0003011112,0.0006306791,0.000341153,0.0005557482,0.0002929944],"category_scores_gemma":[0.0002793536,0.0002532278,0.000591963,0.0002198603,0.0002493516,0.0005643091,0.0003928677,0.0005266051,0.0001364971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002424657,"about_ca_system_score_gemma":0.0002532778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001602583,"about_ca_topic_score_gemma":0.001163424,"domain_scores_codex":[0.9996438,0.00006052728,0.00002908369,0.00009141709,0.0001114981,0.00006359747],"domain_scores_gemma":[0.9998739,0.00002647944,0.00002643475,0.000007322501,0.00003615395,0.00002977745],"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":[0.0001601382,0.00007159863,0.0006068517,0.00003033253,0.000007169248,0.00005002043,0.00005554008,0.0001257806,0.9976891,0.0000106134,0.00001120158,0.001181653],"study_design_scores_gemma":[0.00003165573,0.001326396,0.02079941,0.00001169337,0.00005032088,0.0001410479,0.0002690311,0.005826104,0.9709712,0.00004973999,0.0004899759,0.00003343636],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987715,0.0001559826,0.0008217691,0.00002293179,0.00001029008,0.00001360718,0.00008119365,0.0000166748,0.0001060465],"genre_scores_gemma":[0.9962703,0.0002695404,0.002526604,0.00003362458,0.00000934144,0.00003680035,0.0002424133,0.000008944977,0.0006023576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001602583,"threshold_uncertainty_score":0.003186524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02176949073433208,"score_gpt":0.2501622242948083,"score_spread":0.2283927335604763,"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."}}