{"id":"W4396701088","doi":"10.11159/iceptp24.122","title":"Bio-Hydrogen Production from Sewage Sludge and Landfill Leachate by Dark and Photo Fermentation","year":2024,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Civil, Structural, and Environmental Engineering","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Leachate; Dark fermentation; Waste management; Environmental science; Sewage sludge; Sewage; Sewage sludge treatment; Bioreactor landfill; Fermentation; Hydrogen production; Biohydrogen; Sewage treatment; Hydrogen; Environmental engineering; Chemistry; Engineering; Food science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003489303,0.0005209901,0.0004221862,0.0002870045,0.0001899428,0.0005696006,0.0002121526,0.000399958,0.0003509695],"category_scores_gemma":[0.0001653812,0.0001317547,0.0005123614,0.0003018798,0.0002766839,0.0005790405,0.0008020924,0.0004588447,0.0001590652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000250567,"about_ca_system_score_gemma":0.0002776458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005160659,"about_ca_topic_score_gemma":0.0009780788,"domain_scores_codex":[0.9997213,0.000057743,0.00002438103,0.00005825297,0.0001000395,0.0000382539],"domain_scores_gemma":[0.9999152,0.00001500142,0.00002336794,0.00001103489,0.00001372722,0.00002166406],"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":[0.0001311726,0.00006111625,0.0004884058,0.0001004931,0.000007151762,0.00003929045,0.00001677923,0.000167287,0.9954864,0.00004585392,0.00001424217,0.003441807],"study_design_scores_gemma":[0.00001331619,0.000533843,0.001945483,0.000007330174,0.00001507431,0.00007998937,0.00004675493,0.001214481,0.9955276,0.00004068264,0.0005649858,0.00001056232],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905118,0.001690698,0.006709018,0.00007984255,0.00002763008,0.00003297962,0.00009653544,0.00003008866,0.000821351],"genre_scores_gemma":[0.9898698,0.001200317,0.007632058,0.00004890704,0.00001404552,0.00002856812,0.0001416337,0.00001074302,0.001053897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005696006,"threshold_uncertainty_score":0.0018453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003608032398652068,"score_gpt":0.1716895479692231,"score_spread":0.168081515570571,"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."}}