{"id":"W4391663400","doi":"10.1149/ma2023-02542534mtgabs","title":"Effect of Electrode Potential on the Surface Chemical Composition of Au-Pd Nanoparticles","year":2023,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"nanoparticles nucleation surface interactions","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Electrode; Nanoparticle; Composition (language); Materials science; Chemical composition; Chemical engineering; Nanotechnology; Chemistry; Physical chemistry; Art; Engineering; 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":[0.0003534475,0.0005304916,0.0003916917,0.0003043883,0.0002197649,0.0005424615,0.0005417053,0.0006033111,0.001022612],"category_scores_gemma":[0.0008087696,0.0003084933,0.0001916305,0.0003177268,0.0002809466,0.0004592028,0.0002433532,0.0005463234,0.0003110399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004091487,"about_ca_system_score_gemma":0.0001317713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000651665,"about_ca_topic_score_gemma":0.0008678748,"domain_scores_codex":[0.9996313,0.00005176269,0.0000408371,0.000114277,0.0001139226,0.00004783483],"domain_scores_gemma":[0.9995292,0.0002333175,0.0000632974,0.00003679419,0.0001057562,0.00003157383],"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":[0.0001653732,0.00003368207,0.0001802334,0.00009046238,0.00001148294,0.0001017092,0.00005435256,0.000149423,0.9964017,0.00008854921,0.00004727825,0.002675725],"study_design_scores_gemma":[0.000006793271,0.0001276224,0.0007109564,0.000004163096,0.000009257388,0.00004800025,0.00002225515,0.0008782218,0.9976674,0.00002966104,0.000491738,0.000003871361],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896867,0.003569471,0.003191811,0.0001529352,0.00009131342,0.00004152738,0.0002390205,0.0001057895,0.002921436],"genre_scores_gemma":[0.9948468,0.001104482,0.002870694,0.00006780648,0.00001851666,0.00003648757,0.0001264777,0.00003632345,0.0008923804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001022612,"threshold_uncertainty_score":0.003420949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01115655522871112,"score_gpt":0.2384470070960079,"score_spread":0.2272904518672968,"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."}}