{"id":"W4211240252","doi":"10.1016/j.fuel.2022.123496","title":"The intriguing ORR performance of iron and nitrogen co-doped biomass carbon composites incorporating surface-modified polyaniline-derived carbon","year":2022,"lang":"en","type":"article","venue":"Fuel","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hydro-Québec","funders":"National Natural Science Foundation of China","keywords":"Catalysis; Carbon fibers; Polyaniline; Limiting current; Materials science; Composite number; Chemical engineering; Nitrogen; Methanol; Specific surface area; Biomass (ecology); Chemistry; Composite material; Electrochemistry; Polymerization; Organic chemistry; Electrode; Polymer","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":[0.0001315108,0.0003238617,0.0001937031,0.0001570421,0.0001986628,0.0003336819,0.0002577369,0.0004672133,0.00106127],"category_scores_gemma":[0.000206697,0.0001089154,0.0001228336,0.000117198,0.0002094944,0.0003043187,0.0001162174,0.0003776637,0.0002203266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00017225,"about_ca_system_score_gemma":0.00008956781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006746434,"about_ca_topic_score_gemma":0.002260589,"domain_scores_codex":[0.9998543,0.00001236248,0.000005387749,0.00003871123,0.00005398986,0.00003525017],"domain_scores_gemma":[0.9999043,0.00003148469,0.0000132102,0.00001119358,0.00002544364,0.0000143586],"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":[0.00007348606,0.000009905444,0.00008739552,0.00003142167,0.000002906676,0.00006029184,0.00001599993,0.00005929068,0.9983541,0.0001187588,0.00006161258,0.001125054],"study_design_scores_gemma":[0.000003021965,0.00006290785,0.001116719,0.000002423923,0.000004911049,0.00005576054,0.00001715796,0.001361217,0.9967353,0.00003275428,0.0006039842,0.000003932495],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933922,0.000629837,0.001497245,0.0001141271,0.00006171088,0.0000059743,0.00008479948,0.00008761788,0.004126476],"genre_scores_gemma":[0.9978484,0.000104957,0.0006132133,0.00001943619,0.000006401005,0.000002439354,0.00005664239,0.00001368743,0.001334877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00106127,"threshold_uncertainty_score":0.003550291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008709145797668568,"score_gpt":0.2128809744723638,"score_spread":0.2041718286746952,"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."}}