{"id":"W4364377571","doi":"10.3390/nano13081330","title":"Competitive Coordination-Oriented Monodispersed Cobalt Sites on a N-Rich Porous Carbon Microsphere Catalyst for High-Performance Zn−Air Batteries","year":2023,"lang":"en","type":"article","venue":"Nanomaterials","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":7,"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","keywords":"Cobalt; Catalysis; Materials science; Carbon fibers; Porosity; Microsphere; Battery (electricity); Chemical engineering; Pyrolysis; Metal; Dispersion (optics); Metal-organic framework; Nanotechnology; Chemistry; Composite material; Metallurgy; Composite number; 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":[0.0001150632,0.0002980517,0.0001635451,0.0001816802,0.0001170956,0.000187464,0.000267417,0.0002619662,0.0004428181],"category_scores_gemma":[0.0001635979,0.0001382624,0.0001372004,0.0001255377,0.000185837,0.0002457689,0.0001980151,0.0002551375,0.0002019901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003491887,"about_ca_system_score_gemma":0.0002363536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001059729,"about_ca_topic_score_gemma":0.003607646,"domain_scores_codex":[0.9998765,0.000009018509,0.000009008469,0.00003868965,0.0000452048,0.0000215303],"domain_scores_gemma":[0.9999251,0.00001133062,0.000023339,0.000006966392,0.00001716921,0.00001600608],"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":[0.00002573109,0.000009007019,0.00008822734,0.00003276013,0.000003464725,0.00002304895,0.000007675159,0.0001282349,0.9979342,0.0001358746,0.00004416866,0.001567658],"study_design_scores_gemma":[0.000006320842,0.00004618502,0.000458935,0.000001332811,0.000006193032,0.00003781234,0.000005781289,0.001762541,0.9968015,0.00001711865,0.0008519575,0.000004280046],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862345,0.001142433,0.01013858,0.00008711991,0.00004309459,0.00003433,0.0001431489,0.0002321893,0.001944632],"genre_scores_gemma":[0.9937903,0.000264535,0.004976117,0.00001457576,0.00000891502,0.00001568857,0.00006348524,0.00001783617,0.000848641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001059729,"threshold_uncertainty_score":0.002533615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008383920815250877,"score_gpt":0.2213574267920619,"score_spread":0.212973505976811,"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."}}