{"id":"W4402947129","doi":"10.1016/j.pnsc.2024.09.003","title":"Enhancement of magnesium aluminate-based nickel and cobalt nanostructured catalysts with iron for improved performance in carbon dioxide methanation","year":2024,"lang":"en","type":"article","venue":"Progress in Natural Science Materials International","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"University of Kashan","keywords":"Methanation; Materials science; Cobalt; Nickel; Catalysis; Magnesium; Carbon dioxide; Inorganic chemistry; Carbon fibers; Aluminate; Chemical engineering; Metallurgy; Composite material; Composite number; Chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001048822,0.0002079301,0.0002283133,0.0002025305,0.0001788071,0.0003085921,0.0004552933,0.0003416888,0.0006437982],"category_scores_gemma":[0.0002187852,0.0001538447,0.0001902658,0.000122092,0.0001587387,0.0002171122,0.0002405096,0.0002525397,0.0002332332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002877174,"about_ca_system_score_gemma":0.000117034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006723205,"about_ca_topic_score_gemma":0.001671395,"domain_scores_codex":[0.9998951,0.00000931034,0.00000982541,0.00001911484,0.00004217959,0.00002449098],"domain_scores_gemma":[0.9999517,0.000007794699,0.00001099868,0.000004935428,0.00001462943,0.00000990579],"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":[0.000168855,0.00003497454,0.0001558944,0.00009107593,0.00000779222,0.00007538308,0.00002785949,0.0001387171,0.9963635,0.0001574196,0.00009889168,0.00267951],"study_design_scores_gemma":[0.00001073755,0.00009555747,0.0005989717,0.000003273135,0.00001199679,0.00004880384,0.00001588284,0.00159185,0.9965883,0.00001618587,0.001014129,0.000004250323],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955843,0.0008216245,0.001160541,0.0000723233,0.000049912,0.00001474718,0.00005576774,0.00007376501,0.002167042],"genre_scores_gemma":[0.9986008,0.0001529956,0.0005231619,0.00001280739,0.000006484142,0.00000488673,0.00003295463,0.000008060055,0.0006578779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006723205,"threshold_uncertainty_score":0.002153695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005717684009979853,"score_gpt":0.2699514169297023,"score_spread":0.2642337329197224,"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."}}