{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001512875,0.0002484312,0.0002463111,0.0001296506,0.0002235922,0.00003159883,0.0004224273,0.0001784527,0.0001424125],"category_scores_gemma":[0.00001337983,0.0002620375,0.00002753983,0.00008784786,0.0001354322,0.0004309531,0.0002648624,0.0002584222,0.0001197582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003263341,"about_ca_system_score_gemma":0.000009164083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005832178,"about_ca_topic_score_gemma":0.0003015258,"domain_scores_codex":[0.9985109,0.00002012956,0.000257206,0.0004707319,0.0003058188,0.0004352306],"domain_scores_gemma":[0.9988207,0.0000273639,0.00008084638,0.000987197,0.000008693413,0.00007523652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00003525279,0.00009115472,0.04417121,0.00009416906,0.00008923675,0.00002382896,0.00003366743,0.5560019,0.03271867,0.0001110789,0.0003019453,0.3663279],"study_design_scores_gemma":[0.001436778,0.000124564,0.6094669,0.00008451243,0.00004130765,0.00002588138,0.00004209836,0.227178,0.1152846,0.0004294499,0.04486656,0.001019332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9568363,0.0004592419,0.04092272,0.0006069451,0.00009502788,0.000199713,0.00003000563,0.0002051654,0.0006448978],"genre_scores_gemma":[0.9934064,0.002213173,0.002785305,0.00007824761,0.00006397833,0.0002615608,0.00008942221,0.00004588679,0.00105599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5652957,"threshold_uncertainty_score":0.9999832,"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."}}