{"id":"W4254371803","doi":"10.1039/c5ta06200d","title":"An ingenious Ni/Ce co-doped titanate based perovskite as a coking-tolerant anode material for direct hydrocarbon solid oxide fuel cells","year":2015,"lang":"en","type":"article","venue":"Journal of Materials Chemistry A","topic":"Advancements in Solid Oxide Fuel Cells","field":"Materials Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Anode; Materials science; Hydrocarbon; Oxide; Perovskite (structure); Titanate; Solid oxide fuel cell; Electrochemistry; Metal; Doping; Chemical engineering; Fuel cells; Inorganic chemistry; Metallurgy; Electrode; Chemistry; Optoelectronics; Ceramic; 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":[0.00005930302,0.0001446709,0.0001867106,0.0001441103,0.0001771215,0.0003077387,0.0003235278,0.0002109698,0.0005621791],"category_scores_gemma":[0.00009597969,0.0001258956,0.0001265406,0.0001633205,0.0001192473,0.0002917002,0.000157522,0.0002674905,0.0002551901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001876355,"about_ca_system_score_gemma":0.0002325446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007606213,"about_ca_topic_score_gemma":0.001540384,"domain_scores_codex":[0.9999563,0.000003026366,0.0000027245,0.000008142461,0.00002050473,0.000009290225],"domain_scores_gemma":[0.999971,0.000003088006,0.000004810198,0.000003394171,0.00001043526,0.000007255463],"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":[0.00004939487,0.00001391349,0.0001025371,0.00004865301,0.000004154983,0.00007227739,0.00001035116,0.0001603752,0.9969271,0.0001391798,0.00008412389,0.002387912],"study_design_scores_gemma":[0.00001233755,0.00007473451,0.0004079525,0.000002192298,0.00001118375,0.0001367778,0.00001667404,0.001728865,0.9957721,0.00004298039,0.00179032,0.000003996945],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884171,0.001050648,0.006209555,0.000218115,0.00006585808,0.00002456843,0.0001994898,0.0002928912,0.003521791],"genre_scores_gemma":[0.9918591,0.0005304084,0.00394845,0.00002133567,0.000007600318,0.000008251538,0.0001197651,0.00003342938,0.00347161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007606213,"threshold_uncertainty_score":0.001880705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01842413741084667,"score_gpt":0.2932070729546774,"score_spread":0.2747829355438307,"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."}}