{"id":"W2317359288","doi":"10.1039/c6ta00173d","title":"Recent progress and perspectives on bi-functional oxygen electrocatalysts for advanced rechargeable metal–air batteries","year":2016,"lang":"en","type":"article","venue":"Journal of Materials Chemistry A","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":467,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Waterloo; National Institute for Nanotechnology; University of Waterloo","funders":"","keywords":"Oxygen evolution; Oxygen reduction; Oxygen; Oxygen reduction reaction; Nanotechnology; Materials science; Chemistry; Electrochemistry; Electrode","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":[],"consensus_categories":[],"category_scores_codex":[0.0004913457,0.0002356385,0.000410413,0.00007289869,0.0001047043,0.00003741618,0.0001851299,0.0001236215,0.000475966],"category_scores_gemma":[0.0003210263,0.0001585136,0.0001073733,0.0000952564,0.00009454674,0.000337004,0.0000413563,0.00008120958,0.000009943492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003073173,"about_ca_system_score_gemma":0.0001205825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002069086,"about_ca_topic_score_gemma":0.000001216869,"domain_scores_codex":[0.9985234,0.00004435932,0.0004685969,0.0002964105,0.0003412323,0.0003260404],"domain_scores_gemma":[0.9985503,0.0001128368,0.0005283629,0.0002094551,0.0004818613,0.0001172036],"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":[0.002282297,0.00009318778,0.000008016094,0.00007939666,0.0002140444,0.00000798387,0.00006875815,0.000009209891,0.991599,0.0003546175,0.0009577015,0.004325767],"study_design_scores_gemma":[0.001653161,0.0003392927,0.00006329626,0.0001485082,0.0000690396,0.0001993672,0.0001185348,8.086116e-7,0.9579524,0.0007509568,0.03850875,0.0001958841],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952978,0.001103186,0.00009762902,0.002740334,0.0002856251,0.0001046164,0.00001261772,0.00003673538,0.0003214281],"genre_scores_gemma":[0.9959247,0.001109968,0.0005759166,0.00006242238,0.0005574494,0.0000382602,0.00002262681,0.0000428457,0.00166577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03755105,"threshold_uncertainty_score":0.6463996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342396560509348,"score_gpt":0.2301144051275186,"score_spread":0.2166904395224251,"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."}}