{"id":"W4200318672","doi":"10.1021/acssuschemeng.1c06040","title":"Co-N-Doped Directional Multichannel PAN/CA-Based Electrospun Carbon Nanofibers as High-Efficiency Bifunctional Oxygen Electrocatalysts for Zn–Air Batteries","year":2021,"lang":"en","type":"article","venue":"ACS Sustainable Chemistry & Engineering","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Shaanxi University of Science and Technology; Natural Science Foundation of Shaanxi Province; National Natural Science Foundation of China; China Postdoctoral Science Foundation; Zhejiang Provincial Postdoctoral Science Foundation","keywords":"Bifunctional; Polyacrylonitrile; Nanofiber; Oxygen evolution; Electrospinning; Electrocatalyst; Materials science; Chemical engineering; Carbon nanofiber; Overpotential; Cellulose; Nanotechnology; Carbon fibers; Electrode; Polymer; Chemistry; Electrochemistry; Catalysis; Composite material; Organic chemistry; Carbon nanotube; Composite number","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":[0.000279081,0.0006189047,0.0005067586,0.0001826683,0.0004040587,0.00009594238,0.0003805263,0.0003357177,0.0001745029],"category_scores_gemma":[0.0004895958,0.0007394117,0.0002667973,0.0009546123,0.00006930233,0.0002775679,0.00008467133,0.000375665,0.00001499172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00175646,"about_ca_system_score_gemma":0.001158601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007705179,"about_ca_topic_score_gemma":0.00001647229,"domain_scores_codex":[0.9962896,0.00002652346,0.0004983282,0.0009679437,0.000662228,0.00155534],"domain_scores_gemma":[0.997814,0.0002641971,0.0001534508,0.0005937661,0.0009339558,0.0002406356],"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":[0.0001446482,0.0001319643,0.00003139791,0.0005299159,0.0002301311,0.0001143413,0.0000575559,0.07617114,0.9206305,0.001571007,0.0003259655,0.0000614348],"study_design_scores_gemma":[0.001412627,0.0001043811,0.00005309845,0.00004112553,0.0001144504,0.00009507541,0.0003073264,0.01034646,0.9576151,0.0002076967,0.02895753,0.0007450749],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831625,0.0007242507,0.0108152,0.0005256172,0.000355338,0.0003577736,0.00001369629,0.0007326025,0.003313008],"genre_scores_gemma":[0.9793084,0.00001947969,0.001057308,0.0001426107,0.0004492339,0.0004000737,0.001799126,0.000164534,0.01665928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06582469,"threshold_uncertainty_score":0.9995057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00329925504139675,"score_gpt":0.1925540832416775,"score_spread":0.1892548282002808,"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."}}