{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008891105,0.0001657813,0.0002055458,0.00003339976,0.00001877486,0.00001014558,0.0001602498,0.0001985781,0.02607411],"category_scores_gemma":[0.000008050253,0.0001329011,0.00006214963,0.00009620671,0.00009934112,0.00003680023,0.0001057548,0.00007304169,0.003080594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004977742,"about_ca_system_score_gemma":0.000003518205,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01261851,"about_ca_topic_score_gemma":0.006985028,"domain_scores_codex":[0.9990483,0.00002769616,0.0001994318,0.0003863637,0.0001701845,0.0001680554],"domain_scores_gemma":[0.9995606,0.000006609148,0.0001635398,0.0002267465,0.00000244412,0.00004007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003515776,0.00002162534,0.000302338,0.000006985686,0.00001067896,5.574428e-7,0.00002792384,0.00000122212,0.4310102,1.53245e-7,0.5666615,0.001953285],"study_design_scores_gemma":[0.0001177874,0.00002177957,0.00009374496,0.00002991742,0.00002206079,4.372593e-7,0.00001650565,0.000002621036,0.4223035,0.000008701008,0.577213,0.0001699165],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2668871,0.0001695369,0.00003198278,0.0003494147,0.003416721,0.001443767,0.0008705565,0.0007953088,0.7260356],"genre_scores_gemma":[0.016111,0.0001976223,0.0002827444,0.00004524184,0.0003687844,0.000004016294,0.0002913893,0.0003209808,0.9823782],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2563426,"threshold_uncertainty_score":0.9976956,"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."}}