{"id":"W4393029088","doi":"10.1016/j.psep.2024.03.056","title":"Green biohydrogen production from renewable plant-based resources: A comparative evaluation","year":2024,"lang":"en","type":"article","venue":"Process Safety and Environmental Protection","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vineland Research and Innovation Centre; Ontario Tech University","funders":"Mitacs","keywords":"Biohydrogen; Renewable energy; Greenhouse gas; Environmentally friendly; Environmental science; Fossil fuel; Biomass (ecology); Renewable resource; Waste management; Microbial electrolysis cell; Environmental engineering; Production (economics); Biochemical engineering; Engineering; Hydrogen production; Electricity generation; Chemistry; Ecology; Microbial fuel cell; Hydrogen","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001563185,0.0005488278,0.0007028982,0.001852467,0.0006609767,0.0009971154,0.0006906711,0.0006798102,0.002547898],"category_scores_gemma":[0.001298855,0.0001183184,0.0008759449,0.001706627,0.0003874861,0.001081586,0.0007751276,0.0004530216,0.0002903961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001501966,"about_ca_system_score_gemma":0.0005786457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002326,"about_ca_topic_score_gemma":0.004369749,"domain_scores_codex":[0.999045,0.0002367495,0.00004463864,0.0001027808,0.0004697002,0.0001010912],"domain_scores_gemma":[0.9993163,0.0002396631,0.00006488302,0.00007196225,0.0002540702,0.00005301945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01094447,0.002815109,0.006481803,0.002574358,0.0005391968,0.0006060257,0.0004316144,0.01474728,0.7465283,0.002708121,0.0006042851,0.2110195],"study_design_scores_gemma":[0.0001570744,0.0165671,0.008590911,0.00008797288,0.0004931957,0.0003291932,0.0006659177,0.005477943,0.9548166,0.0005522168,0.01222175,0.00004003794],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828659,0.00655092,0.002596569,0.00008411563,0.00002350649,0.00007046728,0.0004352399,0.0000205217,0.007352736],"genre_scores_gemma":[0.9897488,0.006290331,0.001714881,0.00002021138,0.000008144917,0.00002648794,0.0004271773,0.00001258444,0.001751384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002547898,"threshold_uncertainty_score":0.01089758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02014498375586693,"score_gpt":0.2212233906839114,"score_spread":0.2010784069280445,"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."}}