{"id":"W3006420593","doi":"10.1021/acs.nanolett.9b05123","title":"Strain-Modulated Platinum–Palladium Nanowires for Oxygen Reduction Reaction","year":2020,"lang":"en","type":"article","venue":"Nano Letters","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"State Administration of Foreign Experts Affairs; China Postdoctoral Science Foundation; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Palladium; Platinum; Nanowire; Materials science; Oxygen; Oxygen reduction reaction; Oxygen reduction; Strain (injury); Reduction (mathematics); Catalysis; Chemistry; Inorganic chemistry; Nanotechnology; Electrochemistry; Electrode; Physical chemistry; 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":[0.00005909854,0.0001551381,0.0001397811,0.00007925858,0.00007221004,0.0001725406,0.0002155321,0.0001888875,0.0005279537],"category_scores_gemma":[0.0001332659,0.0001599534,0.0000930285,0.000124585,0.00009962793,0.0001760176,0.0001343996,0.0003333293,0.0002269659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002765892,"about_ca_system_score_gemma":0.00009296597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004581336,"about_ca_topic_score_gemma":0.00150029,"domain_scores_codex":[0.9999241,0.000004126816,0.000006310252,0.00002335033,0.00003415293,0.000007959306],"domain_scores_gemma":[0.999971,0.000006021825,0.000007530685,0.000004011764,0.000006286138,0.00000509783],"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":[0.0000133676,0.000007057358,0.00004920987,0.00001862499,0.000001756962,0.00001466127,0.00000628309,0.0001095458,0.9977319,0.0001147767,0.00004398722,0.001888844],"study_design_scores_gemma":[0.000003424639,0.00001711665,0.0002669012,9.479011e-7,0.000002735826,0.00002204706,0.000003812148,0.001863301,0.9968827,0.00002983836,0.0009055311,0.000001677028],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799044,0.001028482,0.01359459,0.0001565694,0.00007326758,0.00002085071,0.0001778854,0.0001664767,0.00487757],"genre_scores_gemma":[0.9922194,0.0004981811,0.005052954,0.00002820867,0.000006113657,0.00001674664,0.0001218335,0.00002396362,0.00203258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005279537,"threshold_uncertainty_score":0.002006829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01443158847707936,"score_gpt":0.2192829119972349,"score_spread":0.2048513235201556,"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."}}