{"id":"W2883864097","doi":"10.1039/c8ta04749a","title":"Thermally stable and coking resistant CoMo alloy-based catalysts as fuel electrodes for solid oxide electrochemical cells","year":2018,"lang":"en","type":"article","venue":"Journal of Materials Chemistry A","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Alberta Hospital Edmonton; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Electrochemistry; Alloy; Catalysis; Oxide; Electrode; Nanoparticle; Fuel cells; Chemical engineering; Nanotechnology; Layer (electronics); Metallurgy; Chemistry; Organic 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":[0.0001477076,0.0002362869,0.00026953,0.0002956294,0.0002171391,0.0006270192,0.0004738439,0.0003860097,0.0006108577],"category_scores_gemma":[0.0002537092,0.0002001504,0.0001615846,0.0001814347,0.0002142917,0.0005055913,0.0001960989,0.0003969188,0.0003950869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002451403,"about_ca_system_score_gemma":0.0001863151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006412376,"about_ca_topic_score_gemma":0.00279836,"domain_scores_codex":[0.9998527,0.00001319281,0.00001462934,0.00002720021,0.00007161424,0.00002061876],"domain_scores_gemma":[0.9999242,0.000009861134,0.0000148522,0.00001336919,0.00002591725,0.00001180023],"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":[0.0000595467,0.00002493474,0.0001359443,0.00007318887,0.000007231733,0.00006321254,0.00003077577,0.0002924589,0.9923548,0.0004729608,0.0001473625,0.006337625],"study_design_scores_gemma":[0.000004611319,0.00005310383,0.0002831992,0.000001935495,0.000007809701,0.00005061075,0.00001409212,0.001456569,0.9956934,0.00004502276,0.002385185,0.000004468885],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776646,0.007653006,0.009583686,0.0001879935,0.0001802889,0.00004846062,0.0001615528,0.0002619267,0.004258376],"genre_scores_gemma":[0.9898995,0.001288349,0.005352537,0.00003304711,0.00002461222,0.00001011284,0.0001174459,0.00005869335,0.003215647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006412376,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008969239075742307,"score_gpt":0.2571298607726435,"score_spread":0.2481606216969012,"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."}}