{"id":"W2586439046","doi":"10.1021/acs.jpcc.6b10842","title":"Particle Proximity Effect in Nanoparticle Electrocatalysis: Surface Charging and Electrostatic Interactions","year":2017,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Electrocatalyst; Nanoparticle; Materials science; Nanotechnology; Particle (ecology); Electrolyte; Chemical physics; Particle size; Surface energy; Platinum nanoparticles; Electrostatics; Electrochemistry; Electrode; Chemistry; Physical chemistry; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003614202,0.0003799915,0.0004055048,0.0002614305,0.0003086713,0.0005657703,0.0005515637,0.0008769083,0.0007996987],"category_scores_gemma":[0.0008706233,0.0003240973,0.0003465601,0.0001766727,0.0007917649,0.0009249494,0.0006465425,0.0005451335,0.0001648668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003633678,"about_ca_system_score_gemma":0.0002230509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004135672,"about_ca_topic_score_gemma":0.000474075,"domain_scores_codex":[0.9997587,0.00004737266,0.00001392391,0.00005791032,0.00008783229,0.00003433551],"domain_scores_gemma":[0.9997275,0.0001915195,0.00002328382,0.00002437702,0.00002167029,0.00001166761],"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":[0.0004078786,0.0003150659,0.001286843,0.0005817946,0.00006649931,0.001890147,0.0004047292,0.05226069,0.8521681,0.06531917,0.0003764282,0.0249226],"study_design_scores_gemma":[0.00008460724,0.0004780539,0.003123579,0.00003000364,0.00008069845,0.001175263,0.0001512217,0.3701856,0.5885407,0.03322155,0.002865695,0.00006304786],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9009656,0.0080301,0.07931278,0.0005844119,0.0002058744,0.00009809208,0.00003831101,0.000121125,0.01064364],"genre_scores_gemma":[0.9953606,0.001028024,0.002251934,0.0000309214,0.00003003712,0.0000153783,0.00001176825,0.00000817942,0.001263174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008769083,"threshold_uncertainty_score":0.002675235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006790172165839974,"score_gpt":0.2512331267178466,"score_spread":0.2444429545520066,"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."}}