{"id":"W4406714998","doi":"10.1016/j.mtsust.2025.101082","title":"Promotional role of methanol and CO2 in carbon dioxide-rich syngas hydrogenation over slurry reactor utilizing combustion induced Cu-based catalysts","year":2025,"lang":"en","type":"article","venue":"Materials Today Sustainability","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Federation of Indian Chambers of Commerce and Industry; Science and Engineering Research Board; Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Syngas; Slurry; Methanol; Combustion; Catalysis; Carbon dioxide; Chemical engineering; Syngas to gasoline plus; Materials science; Carbon fibers; Waste management; Chemistry; Organic chemistry; Steam reforming; Hydrogen production; Composite material","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":[0.0001651582,0.0003238527,0.0003194319,0.0002040101,0.0001255672,0.0003530035,0.0003204168,0.0003268023,0.0004021211],"category_scores_gemma":[0.0002311919,0.0001511731,0.0002071244,0.0001567084,0.0002124915,0.0003131352,0.0002773085,0.0003654463,0.0001763626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002308082,"about_ca_system_score_gemma":0.0001656384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006729785,"about_ca_topic_score_gemma":0.00170279,"domain_scores_codex":[0.9998882,0.00001473111,0.000008252302,0.00002506471,0.0000303973,0.00003339095],"domain_scores_gemma":[0.9999498,0.00001167389,0.00001139704,0.000006519625,0.0000118837,0.000008573254],"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":[0.0001275536,0.00003424059,0.0004914349,0.0001083088,0.00001156239,0.00009901969,0.00002434804,0.0002785149,0.9954007,0.0001672803,0.00006954744,0.003187508],"study_design_scores_gemma":[0.000006008802,0.00007526668,0.0007623285,0.000002616581,0.00000825548,0.00003714762,0.00001872914,0.002148024,0.9963755,0.00002059551,0.0005423572,0.00000310426],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958574,0.0006959733,0.002155696,0.00005532941,0.00002447989,0.00001162823,0.00006514134,0.00006607774,0.001068283],"genre_scores_gemma":[0.9987937,0.0001583525,0.0007550762,0.000007819911,0.000003693501,0.000003274106,0.00003507252,0.000006814613,0.0002362412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006729785,"threshold_uncertainty_score":0.001674592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007974103398197081,"score_gpt":0.2537048224053392,"score_spread":0.2457307190071421,"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."}}