{"id":"W2591510150","doi":"10.1016/j.gee.2017.02.004","title":"3D hollow sphere Co3O4/MnO2-CNTs: Its high-performance bi-functional cathode catalysis and application in rechargeable zinc-air battery","year":2017,"lang":"en","type":"article","venue":"Green Energy & Environment","topic":"Advanced battery technologies research","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Donghua University; National Natural Science Foundation of China","keywords":"Materials science; Bifunctional; Battery (electricity); Catalysis; Chemical engineering; Carbon nanotube; X-ray photoelectron spectroscopy; Cathode; Nanoparticle; Oxygen evolution; Zinc; Manganese; Nanotechnology; Electrode; Electrochemistry; Metallurgy; 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":[0.00009669744,0.0003880082,0.0002111501,0.0002737329,0.0001432817,0.000260646,0.0002867089,0.0003406219,0.0003564225],"category_scores_gemma":[0.00009754317,0.0001551218,0.0002066649,0.0001836101,0.0001087051,0.0002132622,0.0002207717,0.0001536687,0.0003139551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000215022,"about_ca_system_score_gemma":0.000112134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007413211,"about_ca_topic_score_gemma":0.00171496,"domain_scores_codex":[0.9999177,0.000008017154,0.000007711558,0.00002131283,0.00003376893,0.00001147717],"domain_scores_gemma":[0.9999551,0.000003340935,0.000009379067,0.00000410472,0.00001145087,0.00001657523],"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":[0.00003647608,0.00001047908,0.0001097452,0.00004591867,0.000005315057,0.00005904937,0.000009198653,0.0002084169,0.9978768,0.00007311901,0.00003882303,0.001526687],"study_design_scores_gemma":[0.00001254569,0.00008029669,0.001680194,0.000004479546,0.00001470938,0.0001728589,0.00001239745,0.004681289,0.9912701,0.0000461402,0.002014232,0.00001088937],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902503,0.002030551,0.005022648,0.00007620868,0.00005579009,0.00002272405,0.0002435935,0.0001768753,0.002121205],"genre_scores_gemma":[0.9925866,0.000561161,0.005125143,0.00001495881,0.00000907181,0.00001756154,0.0001713482,0.00002521628,0.001488973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007413211,"threshold_uncertainty_score":0.001560092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01258553170277324,"score_gpt":0.2057997351816053,"score_spread":0.1932142034788321,"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."}}