{"id":"W3105582854","doi":"10.1039/d0ta08974e","title":"Cogeneration of ethylene and electricity in symmetrical protonic solid oxide fuel cells based on a La<sub>0.6</sub>Sr<sub>0.4</sub>Fe<sub>0.8</sub>Nb<sub>0.1</sub>Cu<sub>0.1</sub>O<sub>3−δ</sub> electrode","year":2020,"lang":"en","type":"article","venue":"Journal of Materials Chemistry A","topic":"Advancements in Solid Oxide Fuel Cells","field":"Materials Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Oxide; Materials science; Analytical Chemistry (journal); Solid oxide fuel cell; Fuel cells; Electrolyte; Inorganic chemistry; Electrode; Physical chemistry; Chemistry; Metallurgy; Chemical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.00633573,0.002959919,0.004775454,0.001222858,0.0007042955,0.001124679,0.002457891,0.00212643,0.0001067301],"category_scores_gemma":[0.003222543,0.003080705,0.001082464,0.003217957,0.001000819,0.001900799,0.000987161,0.002938166,0.0002652963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002305126,"about_ca_system_score_gemma":0.002326384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001732399,"about_ca_topic_score_gemma":0.00003893972,"domain_scores_codex":[0.9792761,0.002278887,0.0069101,0.003421171,0.004298108,0.003815612],"domain_scores_gemma":[0.9861446,0.001543908,0.006588211,0.002067477,0.001697165,0.001958654],"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":[0.005578035,0.002014035,0.0001235947,0.003114003,0.0003380565,0.0008563856,0.0003855385,0.003362514,0.9803239,0.00002415622,0.001422186,0.002457667],"study_design_scores_gemma":[0.007805048,0.00176294,0.0005742672,0.001357012,0.0006572694,0.000643269,0.000123042,0.001452764,0.9820397,0.0006101828,0.000232888,0.002741609],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894782,0.001083832,0.002757279,0.0006836466,0.001347858,0.003420136,0.0007125475,0.0003492111,0.0001673394],"genre_scores_gemma":[0.9885857,0.005251443,0.001329914,0.001247388,0.002174812,0.0005671324,0.0002514511,0.0005864264,0.000005705979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006868461,"threshold_uncertainty_score":0.9999123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01165992844507605,"score_gpt":0.2417607528925891,"score_spread":0.2301008244475131,"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."}}