{"id":"W2938505199","doi":"10.1021/acs.chemmater.9b00394","title":"Bioinspired Synthesis of Reduced Graphene Oxide-Wrapped <i>Geobacter sulfurreducens</i> as a Hybrid Electrocatalyst for Efficient Oxygen Evolution Reaction","year":2019,"lang":"en","type":"article","venue":"Chemistry of Materials","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"King Abdullah University of Science and Technology","keywords":"Electrocatalyst; Tafel equation; Geobacter sulfurreducens; Oxygen evolution; Graphene; Overpotential; Water splitting; Oxide; Materials science; Catalysis; Nanotechnology; Chemical engineering; Electrochemistry; Chemistry; Inorganic chemistry; Electrode; Organic chemistry; Metallurgy; Physical 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":[0.0001043188,0.0004398725,0.0002947904,0.0002291252,0.0001315692,0.0002769703,0.0004090518,0.0003911874,0.0002999459],"category_scores_gemma":[0.0001004335,0.0001534166,0.000451052,0.0002671141,0.0001325385,0.0002175386,0.000259821,0.0002844431,0.0002285219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002147239,"about_ca_system_score_gemma":0.0001790742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007074205,"about_ca_topic_score_gemma":0.001806511,"domain_scores_codex":[0.9998996,0.000009639476,0.000009723773,0.00002209623,0.00003574287,0.0000230786],"domain_scores_gemma":[0.9999574,0.00000280446,0.000010806,0.00000648579,0.00001032557,0.00001202312],"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":[0.000009527182,0.00001288406,0.00005135955,0.00004371862,0.000006371894,0.00004807471,0.000006665191,0.000132642,0.9982141,0.00008714302,0.00004883709,0.001338618],"study_design_scores_gemma":[0.000005439424,0.0001071239,0.0007410065,0.000004550703,0.000019299,0.0001009525,0.00001347529,0.001218365,0.9953951,0.00003742094,0.002349223,0.000007973345],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786052,0.002313373,0.01342634,0.0002143238,0.0001299456,0.0001096471,0.0006158394,0.0005117425,0.004073584],"genre_scores_gemma":[0.9876975,0.0008254087,0.009738192,0.00005424681,0.000009805191,0.00002717269,0.0004665741,0.0000412273,0.001139917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007074205,"threshold_uncertainty_score":0.001557946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004394683896115324,"score_gpt":0.1886181194700798,"score_spread":0.1842234355739645,"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."}}