{"id":"W4224261205","doi":"10.1016/j.psep.2022.04.047","title":"Importance of low-abundance microbial species in response to disturbances in wastewater bioreactors","year":2022,"lang":"en","type":"article","venue":"Process Safety and Environmental Protection","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Alberta Innovates; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Effluent; Bioreactor; Wastewater; Microbial population biology; Abundance (ecology); Environmental science; Disturbance (geology); Sewage treatment; Activated sludge; Ecology; Biology; Environmental engineering; Pulp and paper industry; Engineering; Bacteria","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":[0.000310007,0.0001481373,0.0001673009,0.00008326476,0.000133079,0.000008460109,0.0001176588,0.00002952532,0.0004594713],"category_scores_gemma":[0.000006400918,0.0001393487,0.00002939226,0.0002579778,0.0001359073,0.0002085776,0.0002002301,0.0001468813,0.00001182243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004435468,"about_ca_system_score_gemma":0.000004911844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002021074,"about_ca_topic_score_gemma":0.0002207706,"domain_scores_codex":[0.9987924,0.00009864856,0.0002906797,0.00036307,0.000228751,0.0002264403],"domain_scores_gemma":[0.9997422,0.00001222799,0.00008705097,0.0001109793,5.832751e-7,0.00004692934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.005174851,0.0003509492,0.2842731,0.00003308287,0.000005486859,0.00001698093,0.002570646,0.01124451,0.6953663,5.295503e-7,0.000005896831,0.0009576187],"study_design_scores_gemma":[0.001470683,0.0005492521,0.8332105,0.00003773781,0.000006680405,0.00003516133,0.002102471,0.0005067452,0.1598169,0.000101927,0.001817521,0.0003444244],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989119,0.00005871663,0.00003057183,0.0002287885,0.00004674432,0.0005814876,0.00004062471,0.000009855814,0.00009131199],"genre_scores_gemma":[0.9993563,0.00002243169,0.00009573319,0.00002913564,0.000009226867,0.0001301997,0.00001651189,0.00001201081,0.0003284014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5489374,"threshold_uncertainty_score":0.5682477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006813304901122279,"score_gpt":0.1877357952435309,"score_spread":0.1809224903424086,"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."}}