{"id":"W4212798533","doi":"10.1039/d2ce00124a","title":"The synergistically enhanced activity and stability of layered manganese oxide via the engineering of defects and K+ ions for oxygen electrocatalysis","year":2022,"lang":"en","type":"article","venue":"CrystEngComm","topic":"Advanced battery technologies research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Guangzhou Municipal Science and Technology Project; National Natural Science Foundation of China","keywords":"Electrocatalyst; Manganese; Ion; Manganese oxide; Zinc; Inorganic chemistry; Chemistry; Battery (electricity); Oxygen evolution; Oxide; Oxygen; Catalysis; Chemical engineering; Materials science; Electrode; Electrochemistry; Physical chemistry; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006984905,0.0002686252,0.0001232558,0.00008255099,0.0000833298,0.000303761,0.0002661519,0.000170808,0.0002822081],"category_scores_gemma":[0.0001081778,0.0001176582,0.0001296334,0.000108308,0.0001779312,0.0001901613,0.0002223646,0.0001779636,0.00009557965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002404773,"about_ca_system_score_gemma":0.0001490821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004876583,"about_ca_topic_score_gemma":0.00129971,"domain_scores_codex":[0.999948,0.000005758381,0.000003505535,0.00001239759,0.00001615451,0.00001418545],"domain_scores_gemma":[0.9999528,0.000004839115,0.00002005792,0.00000424749,0.000009769103,0.000008263735],"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":[0.00003068014,0.000006643549,0.0001830401,0.00004152111,0.000004836618,0.00002843796,0.00000908159,0.0002045642,0.9976884,0.0002348859,0.0000489919,0.001518949],"study_design_scores_gemma":[0.000006313669,0.00008820146,0.0005408436,0.000002324007,0.00001246244,0.00007262946,0.00001118825,0.00215284,0.9959381,0.00004256469,0.001127576,0.000004978986],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936203,0.0005120612,0.003964155,0.00008359686,0.00002258329,0.000009864788,0.0000626372,0.00007661556,0.001648123],"genre_scores_gemma":[0.9953549,0.0002424644,0.003476391,0.00002199483,0.000004337669,0.000009068734,0.00005297791,0.00001358433,0.0008241434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004876583,"threshold_uncertainty_score":0.001744747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009733100082351516,"score_gpt":0.2245960665862614,"score_spread":0.2148629665039098,"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."}}