{"id":"W3189310925","doi":"10.1061/(asce)ee.1943-7870.0001921","title":"Stable Performance of Microbial Fuel Cell Technology Treating Winery Wastewater Irrespective of Seasonal Variations","year":2021,"lang":"en","type":"article","venue":"Journal of Environmental Engineering","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Wastewater; Winery; Chemical oxygen demand; Microbial fuel cell; Environmental science; Sewage treatment; Pulp and paper industry; Environmental engineering; Idle; Animal science; Chemistry; Biology; Food science; Engineering; Wine","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":[],"consensus_categories":[],"category_scores_codex":[0.0001333612,0.0001072664,0.0002010925,0.00007543802,0.00002665232,0.000005755991,0.0001160348,0.0000681477,0.0008698949],"category_scores_gemma":[0.00001485233,0.0000992246,0.00008383393,0.0001724273,0.00005712025,0.0001947875,0.0001067377,0.0001500268,0.000009297501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001761993,"about_ca_system_score_gemma":0.00001556914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005326712,"about_ca_topic_score_gemma":0.000001493441,"domain_scores_codex":[0.9991126,0.00001371555,0.0003991298,0.0001120032,0.0002083607,0.0001541905],"domain_scores_gemma":[0.9995371,0.00002522333,0.0002846123,0.00009887965,0.000009082812,0.00004514744],"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":[0.00001895633,0.0001440941,0.02211601,0.00005281957,0.00001932916,0.000007091209,0.0001596585,0.04086552,0.9361759,0.000002922523,0.00002817961,0.0004095598],"study_design_scores_gemma":[0.0005236449,0.0001592525,0.03994096,0.00005321718,0.00004042534,0.0000787867,0.0001208463,0.004615957,0.9537479,0.000008240682,0.0005913217,0.0001194545],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998763,0.0002516948,0.0003013324,0.00003232711,0.0001316106,0.00004651884,0.00002312463,0.000003809238,0.0004465888],"genre_scores_gemma":[0.9902517,0.0001946172,0.009322987,0.000005313708,0.00005766909,6.686358e-7,0.000004925839,0.00001195559,0.0001501181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03624956,"threshold_uncertainty_score":0.9524739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002487973038921685,"score_gpt":0.1522118252296009,"score_spread":0.1497238521906792,"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."}}