{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001893821,0.00008817632,0.00009380662,0.00007658904,0.00004604154,0.00003243707,0.0001052349,0.00004930163,0.000007016017],"category_scores_gemma":[0.0001723741,0.00006855112,0.00005301416,0.0000983481,0.00002246373,0.0001064361,0.000001859094,0.000123832,0.000001551445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001609102,"about_ca_system_score_gemma":0.00003189098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007957874,"about_ca_topic_score_gemma":0.0000234667,"domain_scores_codex":[0.9995189,0.000005120023,0.0001756416,0.00005899599,0.00008059338,0.0001607633],"domain_scores_gemma":[0.9996502,0.00001870482,0.00003825446,0.00007342167,0.00005752665,0.0001618875],"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":[0.000005234125,0.000004254193,0.000112408,0.00002124528,0.00005585619,2.957233e-7,0.0003146298,0.0699228,0.9125194,0.002012192,0.01377147,0.001260193],"study_design_scores_gemma":[0.0002046913,0.00003406772,0.0001263974,0.00003516679,0.00003649318,0.00003282513,0.0000225403,0.006390691,0.9502664,0.0002113959,0.04247192,0.0001674707],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914331,0.0001490121,0.006512037,0.0007181531,0.0009797566,0.00009855462,0.000005782183,0.00003991477,0.00006371576],"genre_scores_gemma":[0.9992118,0.000002772143,0.0003664901,0.00001936652,0.0003336821,0.000002694916,0.00001386844,0.00001895444,0.00003040278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06353211,"threshold_uncertainty_score":0.2795433,"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."}}