{"id":"W4413371776","doi":"10.1016/j.jwpe.2025.108524","title":"Synergistic effects of iron oxide and nickel nanoparticles supplementation on anaerobic sludge digestion: Hydrolysis, acidification, methanogenesis, and microbial community","year":2025,"lang":"en","type":"article","venue":"Journal of Water Process Engineering","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Methanogenesis; Anaerobic digestion; Hydrolysis; Chemistry; Environmental chemistry; Microbial metabolism; Microbial population biology; Ferrihydrite; Iron oxide; Nickel; Digestion (alchemy); Bacteria; Methane; Biochemistry; Chromatography; Biology; Organic chemistry","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":[0.0002810674,0.000133744,0.0002043821,0.0002423811,0.00006478366,0.0000293376,0.00008205482,0.00005237896,0.000001638925],"category_scores_gemma":[0.00006253979,0.0001090427,0.00003090415,0.0001417868,0.00003048668,0.0001947963,0.0000180658,0.0001645563,4.5102e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004619721,"about_ca_system_score_gemma":0.00001001362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008366595,"about_ca_topic_score_gemma":0.00000246206,"domain_scores_codex":[0.9992879,0.0000384998,0.0003589345,0.0000836106,0.0001027032,0.0001283228],"domain_scores_gemma":[0.9996284,0.00006253109,0.000071403,0.00009771458,0.0000917841,0.0000482151],"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":[0.00002604023,0.00004019374,0.0003041677,0.0004505629,0.00006240586,0.000001368449,0.0004199527,0.04645335,0.9512936,0.0003173709,0.0000517151,0.0005792049],"study_design_scores_gemma":[0.0004907399,0.00009070006,0.005808402,0.0002209112,0.0001058751,0.00001122506,0.00008893289,0.0008014817,0.9920774,0.00004956879,0.0001541014,0.0001007037],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941335,0.0007885015,0.004564588,0.0001472797,0.0002225009,0.00009915955,0.000001889558,0.0000356343,0.000006993812],"genre_scores_gemma":[0.9989178,0.0003414582,0.0006437111,0.00001310122,0.00003509324,0.000006045105,0.000008909269,0.00001316456,0.00002071055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04565187,"threshold_uncertainty_score":0.4446634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005765831549067114,"score_gpt":0.2163879365602694,"score_spread":0.2106221050112023,"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."}}