{"id":"W2617350646","doi":"10.14447/jnmes.v13i3.169","title":"Preparation and Characterization of Ni-Mn/ZrO 2 -CeO 2 Catalysts for Hydrogen Production via Methane Decomposition","year":2010,"lang":"en","type":"article","venue":"Journal of New Materials for Electrochemical Systems","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coprecipitation; Catalysis; Methane; Hydrogen production; Decomposition; Materials science; Hydrogen; Manganese; Inorganic chemistry; Carbon fibers; Chemical engineering; Temperature-programmed reduction; Pulmonary surfactant; Chemistry; Metallurgy; Composite number; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002180669,0.0003026683,0.000334395,0.0003759483,0.0001359786,0.0003408923,0.0003832795,0.000255093,0.0004901301],"category_scores_gemma":[0.0003511447,0.0002010663,0.0001964764,0.000210157,0.0001257188,0.0001804564,0.0001579294,0.0002223428,0.0001753151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002320618,"about_ca_system_score_gemma":0.0001792331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001109926,"about_ca_topic_score_gemma":0.002428388,"domain_scores_codex":[0.9998274,0.00001225598,0.00002461818,0.00002706781,0.00007826224,0.00003031098],"domain_scores_gemma":[0.9999113,0.0000150046,0.0000197123,0.0000118444,0.00002547422,0.00001663425],"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":[0.00007569798,0.00001172314,0.0002435857,0.00002749632,0.000005442063,0.00002058765,0.000008792653,0.0001039917,0.9986009,0.00002758531,0.00001132478,0.0008628687],"study_design_scores_gemma":[0.00000702383,0.00005762394,0.001789712,0.000002231989,0.000012174,0.00003865296,0.00001105672,0.000741521,0.996884,0.000007647249,0.0004456336,0.000002770363],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969369,0.0007000569,0.001410105,0.00002723722,0.00001364231,0.00002137709,0.0001982577,0.00003963559,0.0006527844],"genre_scores_gemma":[0.9962746,0.000335401,0.002189996,0.000007359189,0.000003787106,0.00001708918,0.0003502943,0.0000177105,0.0008037664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001109926,"threshold_uncertainty_score":0.002206862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009063356876405722,"score_gpt":0.2883226689146702,"score_spread":0.2792593120382645,"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."}}