{"id":"W4309589207","doi":"10.3390/en15238787","title":"Renewable Electricity and Hydrogen Production via Decentralized Wastewater Treatment Systems","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Wastewater; Renewable energy; Environmental science; Sewage treatment; Microbial fuel cell; Electrolysis; Electricity; Hydrogen production; Waste management; Microbial electrolysis cell; Power to gas; Environmental engineering; Process engineering; Electricity generation; Engineering; Chemistry; Hydrogen","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009952367,0.00007654396,0.00007863491,0.00001886663,0.0002204691,0.00001665781,0.00004950649,0.00001603844,0.0004700877],"category_scores_gemma":[0.000002851817,0.0000604529,0.00001915926,0.0001151667,0.00002574161,0.00007334372,0.00007246571,0.00002469358,0.00001717916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002474632,"about_ca_system_score_gemma":0.000004682712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005029159,"about_ca_topic_score_gemma":0.0002033257,"domain_scores_codex":[0.9993479,0.0000622784,0.00009586415,0.0002036752,0.0001351229,0.0001551628],"domain_scores_gemma":[0.9998218,0.000005134042,0.00004046017,0.00009877027,0.000001915837,0.00003195696],"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":[0.00002286492,0.00005004602,0.003377153,0.000004034343,0.000007836623,0.000001799087,0.0002502828,0.1579221,0.8357645,0.000004808821,0.001794811,0.0007997315],"study_design_scores_gemma":[0.0003045535,0.0002011182,0.0006262987,0.000001495276,0.00002137292,0.00002844505,0.000123225,0.002245487,0.808839,0.00007837982,0.1873722,0.0001584268],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985679,0.0004616141,0.000003197575,0.0001378506,0.0001941748,0.0001630381,0.000003439101,0.00003245124,0.0004362665],"genre_scores_gemma":[0.9951776,0.0003364585,0.00004931077,0.00001746815,0.00004503781,0.00004556973,0.00002366328,0.000006455523,0.004298433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1855774,"threshold_uncertainty_score":0.7602617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006835834747071387,"score_gpt":0.1802046162130726,"score_spread":0.1733687814660012,"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."}}