{"id":"W4403897222","doi":"10.1016/j.renene.2024.121750","title":"Hydrogen production from energetic poplar and waste sludge by electrohydrogenesis using membraneless microbial electrolysis cells","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Mitacs","keywords":"Hydrogen production; Microbial electrolysis cell; Production (economics); Electrolysis; Waste management; Pulp and paper industry; Environmental science; Hydrogen; Biohydrogen; Fermentative hydrogen production; Chemistry; Engineering; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001538439,0.0002585672,0.000227487,0.00007974301,0.000156071,0.000102706,0.0001538336,0.0001539672,0.0006131178],"category_scores_gemma":[0.000005724289,0.0002447309,0.00008859104,0.0005164824,0.00007180792,0.0002389963,0.00009614692,0.00007621792,0.00003856574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002415521,"about_ca_system_score_gemma":0.00003071657,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03818556,"about_ca_topic_score_gemma":0.002793272,"domain_scores_codex":[0.9981934,0.00009158391,0.0002691598,0.0007472717,0.0002463936,0.0004521696],"domain_scores_gemma":[0.9995484,0.00002457044,0.0000688973,0.0002253938,0.000008277085,0.0001245144],"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":[0.00001884721,0.00003435566,0.00006836878,0.00001825548,0.00004714146,0.000006344792,0.00004496369,0.05567751,0.9381914,0.000002452639,0.004639936,0.001250437],"study_design_scores_gemma":[0.000110657,0.00003221241,0.000002085943,0.00001794918,0.0001091453,0.00001166993,0.000009736994,0.02135147,0.9501313,0.0001199982,0.02781858,0.0002852165],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939991,0.003926181,0.001178896,0.0001067866,0.0003590107,0.000087423,0.00003718078,0.00008265598,0.0002227321],"genre_scores_gemma":[0.9948473,0.001771882,0.0003435248,0.0001114258,0.000405999,0.000007571152,0.0001721768,0.00005019049,0.002289907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03539228,"threshold_uncertainty_score":0.9979835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004170436379817833,"score_gpt":0.17349595274271,"score_spread":0.1693255163628922,"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."}}