{"id":"W2525338126","doi":"10.1109/redec.2016.7577544","title":"Preparation and characterization of Ni-Co-Mg-Al mixed oxides derived from layered double hydroxides and their performance in the dry reforming of methane","year":2016,"lang":"en","type":"article","venue":"","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Universitaire de la Francophonie; Université du Littoral Côte d'Opale","keywords":"Hydrotalcite; Calcination; Catalysis; Thermogravimetric analysis; Carbon dioxide reforming; Methane; Materials science; Differential scanning calorimetry; Nuclear chemistry; Fourier transform infrared spectroscopy; Chemical engineering; Syngas; Chemistry; Analytical Chemistry (journal); Organic chemistry; Physics; Thermodynamics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001208555,0.0001755413,0.0001621675,0.0002637086,0.0001223405,0.0002744421,0.0002050489,0.0001838531,0.0004531896],"category_scores_gemma":[0.0002616836,0.0001513555,0.0001474316,0.0002176772,0.0001021207,0.0001759852,0.0001430707,0.0001977978,0.0001854304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001484765,"about_ca_system_score_gemma":0.0001077534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006254495,"about_ca_topic_score_gemma":0.001222399,"domain_scores_codex":[0.9999193,0.000005498653,0.00001284357,0.00001646262,0.00003373866,0.00001207801],"domain_scores_gemma":[0.9999021,0.000009549145,0.00002433801,0.0000102618,0.00003320853,0.00002052659],"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":[0.00004671751,0.000007311884,0.0001968789,0.00002720249,0.000003587701,0.00002438762,0.00001088789,0.00004695715,0.9989813,0.00001819939,0.000009273806,0.0006272383],"study_design_scores_gemma":[0.000005347533,0.00009778599,0.002962474,0.000002485655,0.00001115674,0.00006510504,0.00002278818,0.0004788068,0.9956036,0.000008477758,0.00073839,0.000003614711],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978241,0.000310699,0.001054307,0.00001469213,0.00001090101,0.00001697563,0.0002308216,0.00002948547,0.000508076],"genre_scores_gemma":[0.9961523,0.0002591081,0.002152039,0.000008676268,0.000004622768,0.00001634278,0.0004266339,0.00001798147,0.0009622571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006254495,"threshold_uncertainty_score":0.001516104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0143828432994542,"score_gpt":0.2432102241036122,"score_spread":0.228827380804158,"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."}}