{"id":"W2517193172","doi":"10.1149/07542.0053ecst","title":"In-Situ Exsolved Alloy Nanoparticles on Perovskite for the Cogeneration of Ethylene and Electricity in Proton Conducting Fuel Cell","year":2017,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Advancements in Solid Oxide Fuel Cells","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dehydrogenation; Materials science; Anode; Ethylene; Alloy; Perovskite (structure); Chemical engineering; Cogeneration; Catalysis; Nanoparticle; Nanotechnology; Electrode; Metallurgy; Chemistry; Electricity generation; Organic chemistry; Power (physics); Physical chemistry","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":[0.00008782979,0.0002004809,0.0002250039,0.0001189418,0.0001337835,0.0003174416,0.0003211997,0.0002281362,0.0006671511],"category_scores_gemma":[0.00009386576,0.0001874529,0.0001576714,0.0001250714,0.0001507576,0.0002696395,0.000224902,0.0003138791,0.0002070951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002052626,"about_ca_system_score_gemma":0.0001413964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000587743,"about_ca_topic_score_gemma":0.00159585,"domain_scores_codex":[0.9999297,0.000005680767,0.000004160984,0.00001684384,0.00002843644,0.00001517513],"domain_scores_gemma":[0.9999713,0.000005857482,0.000006892868,0.000003188596,0.000007622742,0.000005157456],"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":[0.00002696864,0.00001366914,0.00003313943,0.00004747955,0.000002829778,0.00004976203,0.00001761164,0.0001026261,0.9983079,0.0000916678,0.00003779311,0.00126842],"study_design_scores_gemma":[0.000005473265,0.00003425906,0.0001187156,0.000001320965,0.000003855413,0.00002677201,0.000009373217,0.0007080332,0.9985093,0.00001063599,0.0005704274,0.000001876804],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925665,0.0007499843,0.003628464,0.00009588955,0.0000443378,0.00001494168,0.0001089392,0.0001194221,0.00267166],"genre_scores_gemma":[0.9954497,0.0003923731,0.002512423,0.00002019222,0.000006832192,0.000008531596,0.00006649463,0.00002111486,0.001522374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006671511,"threshold_uncertainty_score":0.002231836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05309871112095445,"score_gpt":0.3124229655155504,"score_spread":0.259324254394596,"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."}}