{"id":"W3000894028","doi":"10.1021/acsanm.9b02201","title":"Bimetallic CoNi Alloy Nanoparticles Embedded in Pomegranate-like Nitrogen-Doped Carbon Spheres for Electrocatalytic Oxygen Reduction and Evolution","year":2020,"lang":"en","type":"article","venue":"ACS Applied Nano Materials","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Concordia University","funders":"Concordia University; University of Alberta; Natural Sciences and Engineering Research Council of Canada; Henan Normal University","keywords":"Electrocatalyst; Bifunctional; Overpotential; Materials science; Bimetallic strip; Oxygen evolution; Electrolyte; Chemical engineering; Water splitting; Nanoparticle; Carbon fibers; Nanotechnology; Composite number; Electrode; Metal; Catalysis; Chemistry; Composite material; Metallurgy; Electrochemistry; Organic chemistry; Photocatalysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007568995,0.0002623209,0.000127542,0.0001973225,0.0001360904,0.0002154195,0.0002032068,0.0002252294,0.0005516654],"category_scores_gemma":[0.0001115676,0.00009240016,0.0001045799,0.0001235515,0.0001599258,0.0002431091,0.0001336909,0.0002394995,0.0001910404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000445955,"about_ca_system_score_gemma":0.0001921971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008348484,"about_ca_topic_score_gemma":0.003295419,"domain_scores_codex":[0.9999278,0.000004362912,0.00000317736,0.00002227262,0.00003172535,0.00001073174],"domain_scores_gemma":[0.9999626,0.000006560625,0.000009339328,0.000004835259,0.000008210711,0.000008502996],"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":[0.00001981013,0.00001453498,0.00008795168,0.00002290402,0.000004167088,0.00002763187,0.000007751844,0.0002348868,0.9966879,0.000295408,0.00006630678,0.002530601],"study_design_scores_gemma":[0.000002412487,0.00002581686,0.0004520843,0.000001039811,0.000003991494,0.00003085125,0.000004806147,0.002076775,0.9964207,0.00002945273,0.0009499596,0.000002117067],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787026,0.001181243,0.01256021,0.0001003516,0.00006577983,0.00004941376,0.0002151281,0.0002260047,0.006899257],"genre_scores_gemma":[0.9905729,0.0002993713,0.00705921,0.00001792939,0.000005213133,0.00001227208,0.0001325159,0.00002000511,0.001880677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008348484,"threshold_uncertainty_score":0.003235698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01115573093579144,"score_gpt":0.2121946564667452,"score_spread":0.2010389255309538,"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."}}