{"id":"W2953264763","doi":"10.1002/anie.201906137","title":"Ternary CoPtAu Nanoparticles as a General Catalyst for Highly Efficient Electro‐oxidation of Liquid Fuels","year":2019,"lang":"en","type":"review","venue":"Angewandte Chemie International Edition","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"U.S. Department of Energy","keywords":"Ternary operation; Nanoparticle; Catalysis; Materials science; Chemical engineering; Nanotechnology; Computer science; Chemistry; Organic chemistry; Engineering","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":[0.0002801827,0.0008276819,0.0006359976,0.001969564,0.0001910888,0.0005428471,0.0005308401,0.000827971,0.00117633],"category_scores_gemma":[0.0001943556,0.0004882782,0.0002810511,0.001847428,0.0002387922,0.0005528429,0.0004252904,0.0008440189,0.001325296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005526443,"about_ca_system_score_gemma":0.0004169144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009540566,"about_ca_topic_score_gemma":0.001802126,"domain_scores_codex":[0.9998703,0.00001277178,0.00001094581,0.00002915927,0.0000579505,0.00001891706],"domain_scores_gemma":[0.9999391,0.00001116357,0.00001639108,0.000003517681,0.00002225398,0.000007445993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001178624,0.0002986309,0.0002492312,0.02028958,0.0002179213,0.0006156823,0.00007631119,0.001617829,0.1718749,0.00826521,0.01785449,0.7785224],"study_design_scores_gemma":[0.00004016446,0.0003896136,0.001325935,0.00101619,0.0001980365,0.001413825,0.00003718774,0.001792906,0.1064804,0.001382786,0.8858717,0.00005130563],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005534066,0.9860842,0.002058754,0.000214866,0.0003483095,0.00003567146,0.00005050921,0.00004235848,0.005631385],"genre_scores_gemma":[0.04038037,0.9464723,0.003201032,0.0003127339,0.0002178767,0.00007285951,0.0001332245,0.0000152192,0.009194311],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001969564,"threshold_uncertainty_score":0.004009724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02185611145375833,"score_gpt":0.2917346082185442,"score_spread":0.2698784967647859,"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."}}