{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002331033,0.0001420345,0.0001282262,0.00007061607,0.00001934774,0.000009828519,0.0001209282,0.0001741623,0.00002013431],"category_scores_gemma":[0.00009266432,0.0001543502,0.0000333068,0.0005558085,0.00004134914,0.0001221277,0.00002899964,0.0002191844,0.00009705203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007268962,"about_ca_system_score_gemma":0.00000508188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.27296e-7,"about_ca_topic_score_gemma":2.734332e-8,"domain_scores_codex":[0.999339,0.000001812603,0.0001437099,0.0002390706,0.00007973796,0.0001966927],"domain_scores_gemma":[0.999773,0.000002766846,0.0000164908,0.000142965,0.0000241577,0.00004066023],"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":[0.000003089781,0.000008303192,0.00001849557,0.00002708553,0.00002104259,0.000001701494,0.00005164608,0.01919947,0.9717664,0.004661703,0.002697253,0.001543834],"study_design_scores_gemma":[0.0001255624,0.0000213205,0.00001428273,0.00001249569,0.00001209172,0.00001910962,0.00002331268,0.006243067,0.9659367,0.0003305734,0.0270838,0.0001776932],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9447915,0.0004493149,0.03529965,0.01161387,0.0007720319,0.0002501102,0.000003462423,0.006331664,0.000488428],"genre_scores_gemma":[0.9945623,0.00005010382,0.004983883,0.00007147318,0.0002285546,0.00002661542,0.00002651053,0.00003240953,0.00001820864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04977077,"threshold_uncertainty_score":0.6294221,"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."}}