{"id":"W2015062811","doi":"10.1039/c3ta11315a","title":"Cobalt doped LaSrTiO3−δ as an anode catalyst: effect of Co nanoparticle precipitation on SOFCs operating on H2S-containing hydrogen","year":2013,"lang":"en","type":"article","venue":"Journal of Materials Chemistry A","topic":"Advancements in Solid Oxide Fuel Cells","field":"Materials Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Anode; Materials science; Catalysis; Electrolyte; Electrochemistry; Chemical engineering; Polarization (electrochemistry); Solid oxide fuel cell; Nanoparticle; Oxide; Cobalt; Hydrogen; Dielectric spectroscopy; Inorganic chemistry; Electrode; Nanotechnology; Chemistry; 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":[0.000220947,0.0003202229,0.0004845559,0.0002098371,0.0002036764,0.0005536204,0.0003774063,0.000360192,0.0005046264],"category_scores_gemma":[0.0004983292,0.000229111,0.0002528356,0.0002169541,0.0002769869,0.0002601619,0.0001930362,0.0002857816,0.0001991189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000511525,"about_ca_system_score_gemma":0.0003212558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001820886,"about_ca_topic_score_gemma":0.003164488,"domain_scores_codex":[0.999754,0.00002713261,0.00003060322,0.00005588719,0.00008552978,0.0000467767],"domain_scores_gemma":[0.9997894,0.00006537609,0.00003778287,0.00001984014,0.00006404841,0.0000236567],"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":[0.000267858,0.00002074434,0.0001834209,0.00006473719,0.00001148593,0.00005541147,0.00002530874,0.0001214992,0.9980119,0.00001941858,0.00002083512,0.001197256],"study_design_scores_gemma":[0.000004393655,0.00004906736,0.0002358582,0.000001377344,0.000006152046,0.00001508175,0.000006414514,0.0002933257,0.9992431,0.00000245666,0.000141404,0.000001241257],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980331,0.0006167698,0.0006057404,0.00005221611,0.00002050575,0.00001015632,0.00007871468,0.00004541614,0.0005374686],"genre_scores_gemma":[0.9983267,0.0003376219,0.0006677845,0.00001610934,0.000006263029,0.000006944744,0.00008876235,0.00002731069,0.0005224802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001820886,"threshold_uncertainty_score":0.003711402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01193986200875318,"score_gpt":0.2906224220840449,"score_spread":0.2786825600752917,"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."}}