{"id":"W1980024335","doi":"10.1002/cjce.22083","title":"Key factors for biohydrogen production by dark fermentation","year":2014,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biohydrogen; Dark fermentation; Bioreactor; Fermentation; Fermentative hydrogen production; Biomass (ecology); Chemistry; Hydrogen production; Biogas; Pulp and paper industry; Yield (engineering); Hydrogen; Activated sludge; Chromatography; Food science; Wastewater; Waste management; Materials science; Organic chemistry; Biology; Agronomy","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":[0.000225038,0.0006809595,0.0003823515,0.0002259041,0.0001838391,0.0008457743,0.0001930311,0.0004943478,0.002359737],"category_scores_gemma":[0.0005023968,0.0002663115,0.0002457713,0.0002038347,0.0002194841,0.0005480889,0.0003964045,0.0005344049,0.0005551119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000515357,"about_ca_system_score_gemma":0.0004277083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001221376,"about_ca_topic_score_gemma":0.0007788289,"domain_scores_codex":[0.9997402,0.00003229729,0.000016058,0.00006164196,0.0001101111,0.00003969344],"domain_scores_gemma":[0.9997812,0.00007967908,0.00004919375,0.00001138542,0.00003814355,0.00004043604],"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":[0.0001667459,0.00002730527,0.0009336986,0.0001070142,0.000004117253,0.00004661864,0.000006926963,0.0003881658,0.9952466,0.0001674299,0.0000621785,0.002843298],"study_design_scores_gemma":[0.00001738312,0.0002359922,0.00999548,0.00001885218,0.00002137924,0.0001059967,0.00007482588,0.003914855,0.9827419,0.0004654926,0.002389733,0.00001822048],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737303,0.006167178,0.01418222,0.000399831,0.00007650304,0.00008873967,0.0007906724,0.0001202636,0.004444283],"genre_scores_gemma":[0.9956951,0.000929402,0.001732086,0.0000359804,0.000006437901,0.00002315646,0.0003293632,0.00001631969,0.001232233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002359737,"threshold_uncertainty_score":0.007894158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006752508445700883,"score_gpt":0.1769098485483187,"score_spread":0.1701573401026178,"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."}}