{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001166104,0.0002240544,0.0003183666,0.000193159,0.0002575183,0.0003394475,0.0003579215,0.0003460909,0.0008738097],"category_scores_gemma":[0.0001367401,0.000122353,0.0002212626,0.0002750213,0.0001683302,0.0002938535,0.0002422495,0.0002152144,0.0002148736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007212689,"about_ca_system_score_gemma":0.0004559939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005384391,"about_ca_topic_score_gemma":0.009907382,"domain_scores_codex":[0.9998989,0.00001720338,0.000003769165,0.00002364285,0.00003838518,0.00001801723],"domain_scores_gemma":[0.9999505,0.00000998788,0.00001098267,0.00000589836,0.00001419944,0.000008421322],"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":[0.0003666471,0.0002764423,0.003618958,0.0003117465,0.00002884545,0.0002509854,0.00005346184,0.1187221,0.8229022,0.002667172,0.0006288501,0.05017262],"study_design_scores_gemma":[0.0002444182,0.001053142,0.01246499,0.00002185624,0.00004436215,0.0001926873,0.0001344746,0.3463348,0.6255094,0.003068317,0.01088364,0.00004791443],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9620132,0.0004851731,0.03210641,0.0001207176,0.00002240525,0.00004508559,0.0001844454,0.0001967754,0.004825864],"genre_scores_gemma":[0.9954288,0.000127532,0.002972161,0.000008871591,0.000004250223,0.00001356125,0.00005575601,0.000003269265,0.001385753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005384391,"threshold_uncertainty_score":0.01070607,"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."}}