{"id":"W3000739589","doi":"10.1002/ceat.201900452","title":"Biohydrogen Production Through Dark Fermentation","year":2020,"lang":"en","type":"article","venue":"Chemical Engineering & Technology","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":283,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Biohydrogen; Dark fermentation; Biofuel; Biomass (ecology); Fermentation; Lignocellulosic biomass; Renewable energy; Hydrogen production; Waste management; Pulp and paper industry; Fermentative hydrogen production; Environmental science; Chemistry; Hydrogen; Biochemical engineering; Engineering; Food science; Agronomy; Organic chemistry; Ecology; Biology","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":[0.0001498796,0.0005455953,0.0002599673,0.0003203709,0.0001315133,0.0006081057,0.0002646995,0.0003268873,0.0008291747],"category_scores_gemma":[0.0001189873,0.000145271,0.0003272288,0.0004226144,0.0001246698,0.000547222,0.0004823758,0.0005933192,0.0006741635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002879293,"about_ca_system_score_gemma":0.0001969355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003530247,"about_ca_topic_score_gemma":0.000418953,"domain_scores_codex":[0.9998685,0.00002027117,0.000009568314,0.00003820426,0.00004062961,0.00002278265],"domain_scores_gemma":[0.9999663,0.000004556028,0.000007454722,0.000003977687,0.00001082814,0.000006856689],"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":[0.000107408,0.0000996548,0.0003222091,0.0009005698,0.00002713409,0.0002098677,0.00003523596,0.0005642074,0.9639763,0.001570207,0.0005947854,0.03159235],"study_design_scores_gemma":[0.000008420894,0.0001993973,0.0005282301,0.00004518426,0.00001949309,0.0001262896,0.00003100462,0.0009271151,0.9851736,0.0003331737,0.01259664,0.0000113853],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8171052,0.07092728,0.07091571,0.0007744548,0.000699072,0.0001798826,0.001586088,0.0005961467,0.03721613],"genre_scores_gemma":[0.956995,0.02328232,0.0102758,0.0001289256,0.00004563205,0.00004721496,0.0008626686,0.00003711346,0.008325405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008291747,"threshold_uncertainty_score":0.002773821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00914441645081477,"score_gpt":0.1915945876852097,"score_spread":0.1824501712343949,"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."}}