{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003331472,0.0001572022,0.0003007919,0.00002354554,0.00003605876,0.00001243997,0.0001709295,0.00009527183,0.0006129184],"category_scores_gemma":[0.00008282978,0.0001476301,0.0001059822,0.0001182103,0.00008339607,0.00006585524,0.00005155581,0.00002558839,0.00005777363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001259348,"about_ca_system_score_gemma":0.00002700532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002708382,"about_ca_topic_score_gemma":0.000001928469,"domain_scores_codex":[0.9987689,0.00002413755,0.0004476886,0.0003283546,0.0002018201,0.0002291414],"domain_scores_gemma":[0.9991639,0.00003818256,0.0004277312,0.0002813755,0.00003661195,0.0000521601],"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":[0.0002191067,0.000109531,0.0001726255,0.0003170324,0.00001300001,1.929332e-7,0.00001751279,0.00002134428,0.998755,0.000003272326,0.0002937906,0.00007757865],"study_design_scores_gemma":[0.000324566,0.00003543196,0.002476344,0.00004859606,0.00004795095,0.000007197774,0.00002476648,0.00001464519,0.9964839,0.00004822963,0.0003336716,0.0001546525],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986818,0.00001540219,0.00001696396,0.00004505379,0.0001846677,0.0004283905,0.0001517708,0.00002170535,0.0004542661],"genre_scores_gemma":[0.9993848,0.00001329533,0.0001861285,0.000009470148,0.00005159504,0.00002934883,0.0001825126,0.00001639084,0.000126509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002303719,"threshold_uncertainty_score":0.6711026,"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."}}