{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001037383,0.0002183501,0.0002116963,0.0001762532,0.0001314703,0.0003617457,0.0002603996,0.0003112125,0.0003727299],"category_scores_gemma":[0.000153697,0.0001993874,0.0001653941,0.00009079279,0.0001996819,0.0003792972,0.0001852943,0.0002335875,0.0002089478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002804002,"about_ca_system_score_gemma":0.0001530263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004751531,"about_ca_topic_score_gemma":0.001275041,"domain_scores_codex":[0.9999056,0.000007566243,0.000006700827,0.00002109539,0.00004283696,0.00001627696],"domain_scores_gemma":[0.9999164,0.00002012571,0.00002306416,0.000007259247,0.00002239151,0.00001071243],"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":[0.00003005283,0.000007211201,0.00008503142,0.00002617672,0.000003233027,0.00002741942,0.00000544828,0.0001549869,0.9987383,0.00006997281,0.00001550199,0.0008366607],"study_design_scores_gemma":[0.000003171748,0.00003505463,0.0004805424,0.000001609308,0.000006679322,0.00004815845,0.000008104086,0.001410545,0.9976267,0.00001381871,0.000363582,0.000001993555],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907421,0.0008390187,0.006604313,0.00004427518,0.00003047693,0.00002183898,0.00004551954,0.00009045282,0.001581875],"genre_scores_gemma":[0.9924284,0.0003410332,0.005857343,0.00001816108,0.00000778407,0.00001118184,0.00004168335,0.00002603,0.001268403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004751531,"threshold_uncertainty_score":0.002034426,"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."}}