{"id":"W2146259455","doi":"10.1039/c4cp03349c","title":"Theoretical analysis of electrochemical surface-area loss in supported nanoparticle catalysts","year":2014,"lang":"en","type":"article","venue":"Physical Chemistry Chemical Physics","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Automotive Fuel Cell Cooperation (Canada)","funders":"","keywords":"Dissolution; Catalysis; Electrolyte; Electrochemistry; Capacity loss; Nanoparticle; Chemical engineering; Chemistry; Materials science; Chemical physics; Nanotechnology; Electrode; 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":[0.0004606546,0.0005446774,0.0004139154,0.0006805401,0.0002439575,0.0005271587,0.00118098,0.0009936976,0.0009170265],"category_scores_gemma":[0.001390559,0.0002795897,0.0005294073,0.0003275824,0.0007157346,0.0008317108,0.0003792862,0.0005164546,0.0003115091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001068206,"about_ca_system_score_gemma":0.0003763605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002289202,"about_ca_topic_score_gemma":0.001073263,"domain_scores_codex":[0.9998438,0.00002077039,0.000006078425,0.00002191304,0.00008334621,0.00002409522],"domain_scores_gemma":[0.9997485,0.0001684293,0.00001652078,0.00001944655,0.00004066242,0.00000635893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001431906,0.0001337075,0.002125613,0.0002984608,0.00003692398,0.0004877083,0.000209342,0.8600448,0.06968676,0.05353122,0.0004426145,0.01285969],"study_design_scores_gemma":[0.000002517296,0.000009258183,0.0002589085,0.000003560013,0.000002447557,0.00002270812,0.000008585151,0.992295,0.003939957,0.003311934,0.000141517,0.000003598365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6694334,0.00162262,0.3031242,0.0005445374,0.00004859666,0.0001291063,0.000294209,0.000315773,0.0244876],"genre_scores_gemma":[0.9888448,0.000464463,0.006483592,0.00003193703,0.000009349517,0.00009244864,0.00009718757,0.00004476757,0.003931544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002289202,"threshold_uncertainty_score":0.007750392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004991712084464184,"score_gpt":0.2157801426776495,"score_spread":0.2107884305931853,"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."}}