{"id":"W2515334437","doi":"10.1007/s11356-016-7480-9","title":"Steam reforming of ethanol for hydrogen production over Cu/Co-Mg-Al-based catalysts prepared by hydrotalcite route","year":2016,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Agence Universitaire de la Francophonie; Université du Littoral Côte d'Opale","keywords":"Catalysis; Hydrotalcite; Thermogravimetry; Hydrogen production; Steam reforming; Hydrogen; Ethanol; Chemistry; Coke; Differential scanning calorimetry; Magnesium; Inorganic chemistry; Nuclear chemistry; Chemical engineering; Materials science; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002385624,0.0001491793,0.0001771793,0.0003025857,0.0003264106,0.00001276036,0.0003055386,0.00008276242,0.00003982595],"category_scores_gemma":[0.0003674299,0.0001075595,0.00006881943,0.0004785361,0.001003113,0.000698581,0.0001631511,0.0001400408,0.00001977674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00103692,"about_ca_system_score_gemma":0.00009482288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002167289,"about_ca_topic_score_gemma":0.000007183809,"domain_scores_codex":[0.9971803,0.00004037698,0.0003045612,0.0005605625,0.001275523,0.0006386169],"domain_scores_gemma":[0.9992017,0.0000673257,0.00009744753,0.0003949384,0.00003209801,0.0002065625],"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":[0.00006582176,0.00005351855,0.0006703596,0.00002937734,0.000009999396,4.519732e-7,0.0001631811,0.00002356383,0.9847201,0.00001247047,0.0001071902,0.01414396],"study_design_scores_gemma":[0.0005862588,0.0001060053,0.0005488173,0.00007227152,0.000007488973,0.000007307856,0.0001181132,0.001429651,0.9902646,0.00002548573,0.006678036,0.0001559432],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998048,0.0001868232,0.0001381472,0.0005032716,0.00005726662,0.0006134583,0.0001805752,0.0000331193,0.0002393498],"genre_scores_gemma":[0.9982814,0.00005479897,0.00005668363,0.00002234369,0.00005297182,0.00009602775,0.00003637572,0.00002134386,0.001378112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01398802,"threshold_uncertainty_score":0.4386147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02410834094717458,"score_gpt":0.3244008008818542,"score_spread":0.3002924599346797,"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."}}