{"id":"W1997231353","doi":"10.1149/05002.1505ecst","title":"Catalyst Degradation: Nanoparticle Population Dynamics and Kinetic Processes","year":2013,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Automotive Fuel Cell Cooperation (Canada); Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dissolution; Catalysis; Nanoparticle; Materials science; Chemical engineering; Population; Specific surface area; Particle (ecology); Dissociation (chemistry); Kinetics; Degradation (telecommunications); Particle size; Nanotechnology; Chemistry; Physical chemistry; Organic chemistry","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":[0.0006036271,0.000555597,0.0005076578,0.0005052957,0.0003586469,0.0008961915,0.0008918652,0.001128558,0.001441721],"category_scores_gemma":[0.002861337,0.0005029181,0.0004565204,0.0002720866,0.0008150847,0.002594128,0.0004991455,0.0009110369,0.0004024599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001795659,"about_ca_system_score_gemma":0.0005202854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003816428,"about_ca_topic_score_gemma":0.00128738,"domain_scores_codex":[0.9997337,0.0000226207,0.00001482609,0.0001093368,0.00006867215,0.00005086261],"domain_scores_gemma":[0.9994325,0.0002796511,0.0001105682,0.00005139424,0.00009421231,0.00003166986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004985398,0.0007626854,0.02342626,0.0004763044,0.0001349929,0.001146662,0.001158039,0.4640523,0.3639393,0.1038405,0.002476308,0.03808813],"study_design_scores_gemma":[0.00001595172,0.00004210678,0.001876039,0.000008145818,0.00001067701,0.0001292216,0.00004584766,0.9603712,0.02976807,0.006680794,0.001028681,0.00002318736],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8835397,0.001724069,0.1023443,0.00149105,0.00006487811,0.0001392811,0.0005049651,0.0003219954,0.009869652],"genre_scores_gemma":[0.991392,0.0005877301,0.003770184,0.00007835706,0.00002252031,0.00007058599,0.0001863595,0.00004845445,0.0038438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003816428,"threshold_uncertainty_score":0.0130285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006561452132485988,"score_gpt":0.2010109207429003,"score_spread":0.1944494686104143,"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."}}