{"id":"W2802678016","doi":"10.2166/wst.2018.175","title":"Dynamic characterization of a FeCl3-dosed anaerobic membrane bioreactor (AnMBR) treating municipal wastewater","year":2018,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Solar Energy Technologies Office","keywords":"Wastewater; Bioreactor; Anaerobic exercise; Membrane bioreactor; Chemistry; Pulp and paper industry; Waste management; Environmental science; Environmental engineering; Engineering; Biology; Organic chemistry","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005088099,0.0002400799,0.0002982299,0.0008600354,0.0003563747,0.0000484225,0.00143947,0.000245318,0.0008924032],"category_scores_gemma":[0.0000986964,0.0001709277,0.00004679928,0.002230515,0.005459246,0.0007190208,0.0008922445,0.0001802353,0.0006916189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002022566,"about_ca_system_score_gemma":0.00002558402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001377655,"about_ca_topic_score_gemma":0.0001385913,"domain_scores_codex":[0.9976131,0.00003204145,0.0004635515,0.0007163979,0.0004363608,0.0007385711],"domain_scores_gemma":[0.9986961,0.00001133447,0.00019452,0.0009755264,0.00005413503,0.00006832521],"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":[0.00001271341,0.00004638158,0.002970375,0.000005949539,0.000003445525,0.000002817531,0.0008474821,0.0000151667,0.992883,0.0001270798,0.000002850522,0.003082796],"study_design_scores_gemma":[0.0002254078,0.0003193991,0.003517573,0.00001640684,0.000009406333,0.00002198123,0.0001997886,0.003961836,0.9904943,0.0003551827,0.0006637211,0.0002150705],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967049,0.000002804768,0.0002714723,0.0008962526,0.000201235,0.000323551,0.000006244879,0.0005077735,0.001085793],"genre_scores_gemma":[0.9961922,0.000009699133,0.003172352,0.00005278733,0.00001086131,0.0000362777,0.00001575504,0.0000188811,0.0004912213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005102871,"threshold_uncertainty_score":0.9972473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009170081994687556,"score_gpt":0.2380870510579926,"score_spread":0.2289169690633051,"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."}}