{"id":"W2064037803","doi":"10.1016/j.egypro.2012.09.059","title":"Hydrogen Production for SOFCs Application via Autothermal Reforming of Volatile Organic Compounds on Ru-pyrochlore Catalysts","year":2012,"lang":"en","type":"article","venue":"Energy Procedia","topic":"Advancements in Solid Oxide Fuel Cells","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Queen's University","funders":"National Energy Technology Laboratory; Ford Motor Company","keywords":"Catalysis; Methane reformer; Pyrochlore; Materials science; Syngas; Oxide; Chemical engineering; Hydrogen production; Hydrogen; Steam reforming; Chemistry; Organic chemistry; Metallurgy","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":[0.0001269816,0.0002004908,0.0002221957,0.0002953967,0.0001442834,0.0002207309,0.0003100291,0.000304559,0.0006562383],"category_scores_gemma":[0.0001119839,0.000152955,0.0003233896,0.0001591767,0.00009833786,0.0002757554,0.0001586873,0.0003018006,0.0002614153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001994136,"about_ca_system_score_gemma":0.0001003771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003876006,"about_ca_topic_score_gemma":0.0009063533,"domain_scores_codex":[0.999892,0.000008240568,0.000006386263,0.00002220748,0.00004512275,0.0000259599],"domain_scores_gemma":[0.9999645,0.000006385344,0.000007112104,0.000006258723,0.00001167267,0.000004036714],"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":[0.00004082255,0.00001904754,0.0002142366,0.00007062571,0.000005468662,0.0001103639,0.00001457968,0.0003064808,0.9947985,0.0001221783,0.0000777495,0.004219897],"study_design_scores_gemma":[0.000003177499,0.00008116996,0.0004701284,0.000002611626,0.000005341596,0.00004745505,0.00001177432,0.001672079,0.9968816,0.00001459432,0.0008071652,0.000002894636],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921008,0.0009895827,0.004311359,0.00005695492,0.0000275469,0.00002325605,0.0001323466,0.0001173891,0.002240822],"genre_scores_gemma":[0.9970077,0.0003319573,0.001897741,0.000009030369,0.000004991321,0.000008662907,0.00005821986,0.000009191676,0.0006725749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006562383,"threshold_uncertainty_score":0.002195358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01018124241773628,"score_gpt":0.2453523725699627,"score_spread":0.2351711301522264,"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."}}