{"id":"W4408535011","doi":"10.1039/d4se01656d","title":"A ligand-specific bimetallic electrocatalyst for efficient oxygen evolution reaction at higher current density","year":2025,"lang":"en","type":"article","venue":"Sustainable Energy & Fuels","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Vision Group on Science and Technology; Department of Science and Technology, Ministry of Science and Technology, India; Jain University","keywords":"Electrocatalyst; Bimetallic strip; Ligand (biochemistry); Oxygen; Oxygen evolution; Current (fluid); Current density; Chemistry; Catalysis; Materials science; Electrode; Physical chemistry; Electrochemistry; Receptor; Thermodynamics; Biochemistry; Physics; Organic 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":[0.0000513275,0.0002479503,0.0001803491,0.0002474439,0.0002221453,0.0001681058,0.0005538904,0.0004903348,0.003412792],"category_scores_gemma":[0.00008335323,0.0001345581,0.0001393389,0.0002508225,0.0001014454,0.0002571253,0.0001665927,0.0004618611,0.0007935831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003024381,"about_ca_system_score_gemma":0.0002541923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001238931,"about_ca_topic_score_gemma":0.003426372,"domain_scores_codex":[0.999926,0.000004928556,0.000004405341,0.00002026816,0.00002498634,0.00001943594],"domain_scores_gemma":[0.9999808,0.000002461518,0.000003134151,0.000003469126,0.00000473913,0.000005437078],"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":[0.00005483368,0.00002936833,0.00004474344,0.0001020491,0.000004958203,0.00005370565,0.000008432892,0.0001643101,0.9908893,0.0006740301,0.0009063525,0.00706798],"study_design_scores_gemma":[0.000007811346,0.00005938551,0.0003102944,0.000004502922,0.000004773538,0.0001185884,0.000006260143,0.00304227,0.9898574,0.00007007006,0.006512785,0.000005898789],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9009362,0.002580651,0.06206119,0.0008979299,0.0003522791,0.0002854325,0.002863606,0.003708754,0.02631395],"genre_scores_gemma":[0.9611898,0.0006593826,0.02753373,0.0001500072,0.00001311679,0.0001130247,0.001090923,0.00006298341,0.009187139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003412792,"threshold_uncertainty_score":0.01141691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007257149956064005,"score_gpt":0.2270371528390576,"score_spread":0.2197800028829936,"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."}}