{"id":"W4319599189","doi":"10.1002/9781119829584.ch10","title":"Continuous Production of Clean Hydrogen from Wastewater by Microbial Usage","year":2023,"lang":"en","type":"other","venue":"","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Biohydrogen; Hydrogen production; Dark fermentation; Wastewater; Environmental science; Bioreactor; Microbial electrolysis cell; Chemical oxygen demand; Renewable energy; Waste management; Pulp and paper industry; Electrolysis; Fermentation; Biochemical engineering; Hydrogen; Chemistry; Environmental engineering; Engineering; Ecology; Biology; Food science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002037525,0.0003773657,0.0002350099,0.0005545777,0.0001995827,0.0008206954,0.0004222663,0.0004902458,0.001793054],"category_scores_gemma":[0.0002065875,0.0001026615,0.0002794557,0.0006577486,0.0001427563,0.0005158702,0.0006124988,0.0004513113,0.001803027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002860059,"about_ca_system_score_gemma":0.0002345165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002729318,"about_ca_topic_score_gemma":0.0007012372,"domain_scores_codex":[0.9997856,0.00002635771,0.00001149598,0.00003490996,0.0001191953,0.00002251259],"domain_scores_gemma":[0.9999348,0.00001377625,0.00001128018,0.00000796732,0.00002440044,0.00000771695],"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":[0.00007635116,0.00009891548,0.0003439072,0.0007837174,0.00001454419,0.0001621072,0.00003558835,0.000201776,0.8988957,0.0008873125,0.0008002879,0.09769964],"study_design_scores_gemma":[0.00001131479,0.0002806355,0.0007834843,0.00007886986,0.00002084811,0.0002742175,0.0000557652,0.001045037,0.96089,0.0003450289,0.03620514,0.00000963104],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6701786,0.1308269,0.07793226,0.001868723,0.0007208355,0.0003121676,0.002272906,0.0009174548,0.1149702],"genre_scores_gemma":[0.8938739,0.04776205,0.03173691,0.0003649525,0.0001221156,0.0001214322,0.001249545,0.00009887951,0.0246702],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.001793054,"threshold_uncertainty_score":0.005998373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005206514982678511,"score_gpt":0.1806728910463971,"score_spread":0.1754663760637186,"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."}}