{"id":"W4408200422","doi":"10.1016/j.tsep.2025.103475","title":"Experimental investigation of integrated systems for biohydrogen and biomethane production: Effects of thermal parameters","year":2025,"lang":"en","type":"article","venue":"Thermal Science and Engineering Progress","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Biohydrogen; Production (economics); Biogas production; Process engineering; Thermal; Biogas; Environmental science; Biochemical engineering; Engineering; Waste management; Chemistry; Hydrogen production; Physics; Methane; Hydrogen; Thermodynamics; Economics; Anaerobic digestion","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":[0.0004234445,0.0001146428,0.0001973248,0.0002451136,0.00003695371,0.00001402526,0.0001227891,0.00004678675,3.292536e-7],"category_scores_gemma":[0.0001482052,0.00009241428,0.00002454906,0.0006631144,0.0003612752,0.0001863834,0.00005904015,0.00005242865,6.773638e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005004399,"about_ca_system_score_gemma":0.00003451679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004749492,"about_ca_topic_score_gemma":6.145145e-8,"domain_scores_codex":[0.9992386,0.000006927641,0.0001977934,0.0001980953,0.0001669351,0.0001916417],"domain_scores_gemma":[0.9996206,0.000055916,0.00006228204,0.0001225158,0.00007986493,0.00005883408],"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":[0.00001844563,0.00001089841,0.0002996604,0.0008213746,0.00002895314,3.549773e-7,0.0003840778,0.001385087,0.9922641,0.0002455653,2.608496e-7,0.00454125],"study_design_scores_gemma":[0.0002327822,0.00006155838,0.0007172931,0.0002778745,0.00002225127,0.000004791066,0.0000781905,0.03376511,0.9647363,0.000002640848,0.00001295492,0.00008823951],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956964,0.003240317,0.0003332791,0.00001813568,0.0002500886,0.0003997638,0.000002869758,0.00005099952,0.000008184191],"genre_scores_gemma":[0.9989882,0.000006909864,0.000885175,0.000001376997,0.00001718835,0.00007653349,0.000002907978,0.00000944557,0.00001223979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03238003,"threshold_uncertainty_score":0.3768545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01024797940027584,"score_gpt":0.2438628579204715,"score_spread":0.2336148785201956,"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."}}