{"id":"W4309718290","doi":"10.1016/j.cej.2022.140254","title":"Defect-induced electronic modification and surface reconstruction of catalysts during water oxidation process","year":2022,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Korea Institute of Energy Technology Evaluation and Planning; National Research Foundation of Korea; Ministry of Trade, Industry and Energy","keywords":"Characterization (materials science); Catalysis; Oxygen evolution; In situ; Materials science; Nanotechnology; Water splitting; Chemical engineering; Electrochemistry; Rational design; Chemistry; Electrode; Organic chemistry; Physical chemistry; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002515365,0.0001226567,0.0001502163,0.0001204136,0.0001314683,0.00001695903,0.0001296683,0.00005038692,0.00003840496],"category_scores_gemma":[0.00004299496,0.0001177092,0.00006599382,0.0001817883,0.00001336075,0.0002073848,0.00004892135,0.0004561904,0.000001640859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000436845,"about_ca_system_score_gemma":0.00004341035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002161122,"about_ca_topic_score_gemma":7.500141e-7,"domain_scores_codex":[0.9989464,0.00002129549,0.0002677249,0.0001828081,0.0002851472,0.000296684],"domain_scores_gemma":[0.9996009,0.00001690379,0.0001026955,0.0001201118,0.00008657723,0.00007274195],"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":[0.00004083251,0.00001585194,0.00004640423,0.00003503334,0.00004333182,0.000001632482,0.0001438538,0.06442001,0.934415,0.0001380427,0.00000425292,0.0006957822],"study_design_scores_gemma":[0.0004311517,0.00003763932,0.00005167333,0.00001520147,0.0000275877,0.0008014906,0.00004171606,0.01183181,0.9864155,0.0001304181,0.00007908157,0.000136727],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990425,0.0001158857,0.0005023141,0.00008354576,0.0001127576,0.00004525652,2.795765e-7,0.00005712458,0.00004033265],"genre_scores_gemma":[0.9996555,0.00001640913,0.0001934042,0.000005854725,0.00004846828,0.000007937394,0.00002729083,0.00002727989,0.00001788158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05258821,"threshold_uncertainty_score":0.4800042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005033099648959127,"score_gpt":0.1905713326219467,"score_spread":0.1855382329729876,"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."}}