{"id":"W2808008300","doi":"10.1039/c8ta05064c","title":"<i>In situ</i> growth of single-layered α-Ni(OH)<sub>2</sub> nanosheets on a carbon cloth for highly efficient electrocatalytic oxidation of urea","year":2018,"lang":"en","type":"article","venue":"Journal of Materials Chemistry A","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq","funders":"Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Urea; Electrochemistry; In situ; Carbon fibers; Chemistry; Wastewater; Redox; Catalysis; Inorganic chemistry; Hydrogen; Chemical engineering; Materials science; Electrode; Organic chemistry; Environmental engineering; Environmental science; Composite number; Physical chemistry; Composite material","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007028875,0.0002711055,0.0006811785,0.000180637,0.00003567934,0.00001652182,0.0003514174,0.0002281647,0.00001909926],"category_scores_gemma":[0.0003614535,0.0002515977,0.0001635283,0.0002885018,0.00009793974,0.0001152885,0.00004297774,0.0001143238,0.000002631851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003504902,"about_ca_system_score_gemma":0.0001879216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000730366,"about_ca_topic_score_gemma":0.00001937346,"domain_scores_codex":[0.9975933,0.00006379334,0.001144414,0.0002602105,0.0005594066,0.0003788077],"domain_scores_gemma":[0.9973714,0.0001139262,0.001458498,0.0003038428,0.0006585407,0.00009379751],"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":[0.002488691,0.0004075413,0.000004780925,0.0003964088,0.0001008732,0.00001087903,0.0001152014,0.0001887151,0.9958542,0.0001567459,0.0001959701,0.00008000006],"study_design_scores_gemma":[0.002141129,0.001061116,0.00002908102,0.000361214,0.0001028623,0.0000736747,0.00001760039,0.00003195542,0.9955594,0.0003403267,0.00007440391,0.0002072616],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983557,0.00006418617,0.00005375984,0.0001218899,0.0003525446,0.0001279709,0.000006450445,0.00001504503,0.0009024707],"genre_scores_gemma":[0.9992147,0.00002723115,0.0001421672,0.00004246606,0.0004595168,0.000007304277,0.0000326667,0.00004736129,0.00002660668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008758641,"threshold_uncertainty_score":0.9999936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007201500874974258,"score_gpt":0.2069957378668191,"score_spread":0.1997942369918449,"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."}}