{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004277973,0.000119679,0.0001053187,0.00009462272,0.0002208621,0.00005878554,0.00007516643,0.00006582859,0.0003697834],"category_scores_gemma":[0.00002112238,0.000119587,0.0000300871,0.0004134992,0.0000369775,0.000541778,0.000004126914,0.00008691858,0.0001216184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000115579,"about_ca_system_score_gemma":0.00003043177,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007045697,"about_ca_topic_score_gemma":0.01218557,"domain_scores_codex":[0.9992128,0.00002134347,0.0001799566,0.0002124138,0.0001726265,0.0002008772],"domain_scores_gemma":[0.9995131,0.00004156645,0.00004465359,0.0001788754,0.000133439,0.00008831126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001563866,0.001429637,0.02582434,0.001054381,0.0007384631,0.00002006505,0.002830138,0.0970934,0.356709,0.07201198,0.001166012,0.4409662],"study_design_scores_gemma":[0.003323894,0.0005150447,0.09685623,0.0001494899,0.000720658,0.0002860359,0.001299726,0.2525269,0.6220365,0.01016532,0.01013481,0.001985376],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985473,0.0001396804,0.01112524,0.0007722155,0.0001138396,0.0001495543,0.000002306014,0.0001946374,0.00202949],"genre_scores_gemma":[0.997178,0.00003768911,0.0004882542,0.00003841172,0.00002664857,0.00006276993,0.0001141122,0.00002306857,0.00203105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4389808,"threshold_uncertainty_score":0.9995665,"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."}}