{"id":"W3016066950","doi":"10.1016/j.jechem.2020.03.030","title":"γ-MnO2 nanorod-assembled hierarchical micro-spheres with oxygen vacancies to enhance electrocatalytic performance toward the oxygen reduction reaction for aluminum-air batteries","year":2020,"lang":"en","type":"article","venue":"Journal of Energy Chemistry","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Nanorod; X-ray photoelectron spectroscopy; Oxygen; Calcination; Materials science; Catalysis; Chemical engineering; Electron paramagnetic resonance; Thermal treatment; Cathode; Electrochemistry; Nanotechnology; Chemistry; Electrode; Physical chemistry; Composite material; Nuclear magnetic resonance","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":[0.00009563618,0.0002911449,0.0001600674,0.0001293847,0.00009431167,0.0002425779,0.0002740227,0.0002631342,0.0005397371],"category_scores_gemma":[0.000136319,0.0001723657,0.0001690124,0.00009448189,0.0001335259,0.0002848619,0.0002369807,0.0002453854,0.0002109337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002676127,"about_ca_system_score_gemma":0.0001258818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008020955,"about_ca_topic_score_gemma":0.002618693,"domain_scores_codex":[0.9999123,0.000008763588,0.000007269302,0.00002478211,0.00002682684,0.00002009072],"domain_scores_gemma":[0.9999441,0.000006708707,0.00001298814,0.000005350362,0.00001596574,0.00001488945],"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":[0.00002983836,0.00001402356,0.00006113053,0.00002946113,0.000004770146,0.00001753047,0.00001489381,0.0001552945,0.9984223,0.0001067292,0.00006235364,0.001081653],"study_design_scores_gemma":[0.000007961349,0.00005635654,0.0004291432,0.000001442037,0.000009529923,0.00001917025,0.00001231026,0.002534234,0.9960477,0.00001948401,0.000858263,0.000004471508],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917811,0.0006295284,0.005611966,0.00006268185,0.00005589658,0.00002168488,0.00007838661,0.000206134,0.00155259],"genre_scores_gemma":[0.9960338,0.0001357556,0.002579016,0.00002849431,0.000007314057,0.00001228324,0.00005497862,0.00002014377,0.001128135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008020955,"threshold_uncertainty_score":0.001941681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007635446979965401,"score_gpt":0.2074768654646104,"score_spread":0.199841418484645,"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."}}