{"id":"W2011937961","doi":"10.1016/j.biortech.2012.09.043","title":"Influence of iron on sulfide inhibition in dark biohydrogen fermentation","year":2012,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; Trojan Technologies (Canada); University of Waterloo","funders":"","keywords":"Biohydrogen; Dark fermentation; Sulfide; Chemistry; Fermentation; Hydrogen sulfide; Nuclear chemistry; Environmental chemistry; Inorganic chemistry; Biochemistry; Hydrogen production; Catalysis; Organic chemistry; Sulfur","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":[0.0003378324,0.0003107396,0.0003793258,0.0002114587,0.0002693669,0.0005962058,0.0003409204,0.0003715051,0.001113842],"category_scores_gemma":[0.0007443789,0.0001760149,0.0001551205,0.000147162,0.0003518159,0.0002959385,0.0002342285,0.0004034468,0.000165783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004984005,"about_ca_system_score_gemma":0.000454288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004263703,"about_ca_topic_score_gemma":0.004478992,"domain_scores_codex":[0.9997422,0.00006734699,0.00002489794,0.00003596974,0.00006154617,0.00006809],"domain_scores_gemma":[0.9994685,0.0002700779,0.0000531355,0.00003469461,0.00008563919,0.00008790733],"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":[0.004546963,0.0002072322,0.0007360771,0.00006048102,0.00001583092,0.0001189317,0.00007265811,0.0002420916,0.9903703,0.00007168879,0.00009664019,0.003461026],"study_design_scores_gemma":[0.0000401908,0.000490338,0.001825147,0.00000649766,0.00001285265,0.00003257281,0.00003073491,0.001060134,0.9960982,0.00001887739,0.000376811,0.00000771656],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987491,0.0002615262,0.0002200214,0.0000579848,0.00002329262,0.00000624149,0.00007044576,0.00001349769,0.0005977796],"genre_scores_gemma":[0.9990811,0.00009943719,0.0002152931,0.00001308294,0.000007808752,0.0000020661,0.00007058338,0.000007670918,0.0005028413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004263703,"threshold_uncertainty_score":0.008477747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005986052846395434,"score_gpt":0.2087869026191007,"score_spread":0.2028008497727053,"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."}}