{"id":"W1996118860","doi":"10.1016/j.ijhydene.2012.11.110","title":"Evaluation of different supplementary nutrients for enhanced biohydrogen production by Enterobacter aerogenes NRRL B 407 using waste derived crude glycerol","year":2012,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre de Recherche Industrielle du Québec; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biohydrogen; Bioconversion; Enterobacter aerogenes; Pulp and paper industry; Dark fermentation; Nutrient; Biomass (ecology); Urea; Chemistry; Glycerol; Food science; Biodiesel production; Biodiesel; Environmental science; Waste management; Fermentation; Hydrogen production; Biochemistry; Agronomy; Biology; Organic chemistry; Hydrogen; Catalysis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004218856,0.0007823235,0.0007335225,0.0003251233,0.0002561131,0.0009224609,0.0007127505,0.000633765,0.0007626267],"category_scores_gemma":[0.0007242068,0.0003053693,0.0004943723,0.0005389541,0.0002966006,0.0005934309,0.0005308692,0.0004889363,0.000275891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005556896,"about_ca_system_score_gemma":0.0008714205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003892588,"about_ca_topic_score_gemma":0.005684907,"domain_scores_codex":[0.9994993,0.0001060756,0.00008159246,0.00006984433,0.0001690679,0.00007405085],"domain_scores_gemma":[0.9996699,0.0001038937,0.00004627346,0.00003094686,0.00008521143,0.00006378926],"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":[0.001604799,0.000313717,0.000414941,0.0001485787,0.0000201359,0.00009179221,0.00003260802,0.0003745411,0.9932928,0.00003681286,0.00002893391,0.003640364],"study_design_scores_gemma":[0.00002908476,0.0007885396,0.000878556,0.00001114935,0.00004411624,0.00004308163,0.00004891314,0.0005432907,0.9972079,0.00001056565,0.0003841273,0.00001063409],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983554,0.0004159322,0.0005423118,0.00005286456,0.00001869938,0.00002663453,0.0001783313,0.00002864343,0.0003811672],"genre_scores_gemma":[0.9957355,0.0004222252,0.002287003,0.00002502002,0.000004439319,0.00003031156,0.0005621295,0.00002616346,0.0009071216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003892588,"threshold_uncertainty_score":0.007739902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02225078639234637,"score_gpt":0.2700055289975901,"score_spread":0.2477547426052437,"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."}}