{"id":"W2788721861","doi":"10.1021/acs.jpcc.7b11680","title":"Co<sub>2</sub>CrO<sub>4</sub> Nanopowders as an Anode Catalyst for Simultaneous Conversion of Ethane to Ethylene and Power in Proton-Conducting Fuel Cell Reactors","year":2018,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Advancements in Solid Oxide Fuel Cells","field":"Materials Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; University of Alberta","keywords":"Dehydrogenation; Materials science; Anode; Catalysis; Ethylene; Electrolyte; Inorganic chemistry; Proton exchange membrane fuel cell; Chemical engineering; Solid oxide fuel cell; Sintering; Cathode; Acetylene; Nanocomposite; Proton conductor; Organic chemistry; Chemistry; Electrode; Nanotechnology; Metallurgy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008742185,0.0002615789,0.0004796076,0.00004461363,0.00009183455,0.00003200091,0.0004917604,0.0001102492,0.00002763336],"category_scores_gemma":[0.0004592815,0.0002011927,0.00008939089,0.0001790792,0.0004395258,0.0003216273,0.0001152575,0.0003080307,0.00001453978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000130755,"about_ca_system_score_gemma":0.0001226598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000113551,"about_ca_topic_score_gemma":0.000001814151,"domain_scores_codex":[0.9981227,0.0001010914,0.0005692219,0.0003040878,0.0004921694,0.0004107299],"domain_scores_gemma":[0.9976913,0.0006182906,0.0007183991,0.000368763,0.0003706334,0.0002326268],"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":[0.0008262559,0.0002665351,0.0000199433,0.0003995349,0.00001375716,0.00001363711,0.003036769,0.0003485673,0.994918,8.303338e-7,0.00005121849,0.0001049452],"study_design_scores_gemma":[0.001064638,0.0007278923,0.000004965469,0.0001387894,0.00004880095,0.00004462739,0.001605734,0.0001635306,0.9956005,0.0002471945,0.0001297957,0.0002234838],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988769,0.00005272531,0.00008031932,0.00006259354,0.0001267541,0.000493435,0.00003173357,0.00001226812,0.0002633058],"genre_scores_gemma":[0.9992059,0.00002642054,0.0002980196,0.0000857458,0.0003130892,0.000008828943,0.000004247601,0.00003667854,0.00002100807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001431035,"threshold_uncertainty_score":0.8204401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01475164738772114,"score_gpt":0.2843087841123514,"score_spread":0.2695571367246302,"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."}}