{"id":"W2021690285","doi":"10.1007/s12274-012-0256-8","title":"Engineering manganese oxide/nanocarbon hybrid materials for oxygen reduction electrocatalysis","year":2012,"lang":"en","type":"article","venue":"Nano Research","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada)","funders":"","keywords":"Electrocatalyst; Graphene; Materials science; Catalysis; Nanoparticle; Oxide; XANES; Calcination; Manganese; Nucleation; Electrochemistry; Chemical engineering; Hybrid material; Carbon nanotube; Inorganic chemistry; Nanotechnology; Chemistry; Electrode; Spectroscopy; Organic chemistry; Metallurgy","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":[0.003693834,0.0002480337,0.0003201315,0.0007132221,0.000277318,0.00008325857,0.0004507988,0.0001723383,0.0001911398],"category_scores_gemma":[0.000700211,0.0002454235,0.0001443819,0.000839436,0.00005759477,0.0004929666,0.0001435218,0.0002689058,0.0004015904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009691542,"about_ca_system_score_gemma":0.0001269198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001340782,"about_ca_topic_score_gemma":0.0000357526,"domain_scores_codex":[0.9962264,0.000176853,0.0003537791,0.0004670302,0.001206329,0.001569649],"domain_scores_gemma":[0.998221,0.0001915371,0.00007124953,0.0006558733,0.0006100629,0.0002502848],"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":[0.0001724684,0.0000715333,0.00001895999,0.00008392005,0.0001061026,0.000002790153,0.000098379,0.0001340273,0.9876194,0.007226114,0.002622729,0.001843552],"study_design_scores_gemma":[0.0004207084,0.0001038773,0.00008726536,0.00002301318,0.00003606308,0.00005610736,0.00005360333,0.0001885643,0.9511226,0.0002677223,0.04739012,0.0002502857],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961878,0.0006028127,0.0002625139,0.0002136414,0.0004271953,0.0004086841,0.00000421511,0.0002142558,0.001678873],"genre_scores_gemma":[0.9939102,0.00008934562,0.000693862,0.0000139391,0.0009064305,0.0003468586,0.0002335889,0.0001123463,0.003693435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04476739,"threshold_uncertainty_score":0.9999998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02671691144053813,"score_gpt":0.2943377742717701,"score_spread":0.267620862831232,"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."}}