{"id":"W2995426339","doi":"10.1002/adfm.201908167","title":"Hierarchically Porous Multimetal‐Based Carbon Nanorod Hybrid as an Efficient Oxygen Catalyst for Rechargeable Zinc–Air Batteries","year":2019,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":160,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Basic Energy Sciences; National Natural Science Foundation of China; Wenzhou University; University of Waterloo; U.S. Department of Energy","keywords":"Materials science; Catalysis; Electrocatalyst; Nanorod; Bifunctional; Imidazolate; Zinc; Oxygen evolution; Zeolitic imidazolate framework; Chemical engineering; Porosity; Metal-organic framework; Carbon fibers; Battery (electricity); Pyrolysis; Oxygen; Metal; Nanotechnology; Inorganic chemistry; Electrochemistry; Electrode; Adsorption; Metallurgy; Organic chemistry; Composite material; Chemistry; Physical chemistry; Composite number","routes":{"ca_aff":true,"ca_fund":true,"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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004870411,0.0004473371,0.0005788979,0.0002190174,0.0002292315,0.00006231602,0.0003255318,0.0001540751,0.001249969],"category_scores_gemma":[0.0001875783,0.000432078,0.0001487555,0.0001960137,0.00007729622,0.0003397221,0.00008774352,0.0001159933,0.0004526112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003474341,"about_ca_system_score_gemma":0.0002289231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008032751,"about_ca_topic_score_gemma":0.00007694362,"domain_scores_codex":[0.997043,0.0001371866,0.0005995351,0.0009373376,0.0005891674,0.000693831],"domain_scores_gemma":[0.9981846,0.0002194318,0.0002849515,0.0007717093,0.0003519615,0.0001873025],"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":[0.002420135,0.0001801816,0.00002287666,0.00008999887,0.00009349955,0.000008388422,0.00002705142,0.05317468,0.9384015,0.004832456,0.00006538782,0.0006839119],"study_design_scores_gemma":[0.002442385,0.0007514661,0.0002792923,0.00004404092,0.00006914832,0.00003451488,0.00003083815,0.001745952,0.9804181,0.001679827,0.01195169,0.0005527158],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936875,0.00005027424,0.0006609558,0.0002428828,0.002594163,0.0007175201,0.00009994675,0.0003503031,0.001596496],"genre_scores_gemma":[0.9884556,0.000004296921,0.003196334,0.0007065349,0.0003151821,0.0003395257,0.003283744,0.0001302787,0.003568525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05142873,"threshold_uncertainty_score":0.9998131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008109113134147156,"score_gpt":0.2198484004932892,"score_spread":0.2117392873591421,"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."}}