{"id":"W2320280309","doi":"10.1021/nn506721f","title":"Activity Descriptor Identification for Oxygen Reduction on Platinum-Based Bimetallic Nanoparticles: <i>In Situ</i> Observation of the Linear Composition–Strain–Activity Relationship","year":2015,"lang":"en","type":"article","venue":"ACS Nano","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":181,"is_retracted":false,"has_abstract":true,"ca_institutions":"Automotive Fuel Cell Cooperation (Canada)","funders":"National Institute of Biomedical Imaging and Bioengineering","keywords":"Bimetallic strip; Catalysis; Platinum; Nanoparticle; Materials science; Alloy; Chemical engineering; In situ; Oxygen; Population; Oxygen reduction; Nanotechnology; Chemistry; Physical chemistry; Composite material; Electrochemistry; Electrode; 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":[0.0001597668,0.0002936518,0.0002195494,0.0005112815,0.00009985554,0.0003404497,0.0003530054,0.000296628,0.0009862041],"category_scores_gemma":[0.0003855619,0.0001800275,0.0001853699,0.000308943,0.0002248827,0.0002480486,0.0001919555,0.0003615645,0.0002295866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003668102,"about_ca_system_score_gemma":0.00008286758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007175889,"about_ca_topic_score_gemma":0.001002567,"domain_scores_codex":[0.9998648,0.000009506167,0.000007755156,0.00005088801,0.00005044974,0.00001660604],"domain_scores_gemma":[0.999849,0.00005149122,0.00005012069,0.00001420323,0.00002502179,0.00001015944],"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":[0.00003915401,0.00001150316,0.0004885342,0.00003013949,0.000004304438,0.00002623171,0.00002555031,0.0001883151,0.9963832,0.00008415613,0.00003335425,0.002685521],"study_design_scores_gemma":[0.000001770028,0.0000270922,0.002344657,0.00000155849,0.000004961199,0.00004204141,0.00002062399,0.004971764,0.9923138,0.00003329357,0.0002346832,0.000003725101],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783449,0.000579195,0.01751332,0.00007790424,0.0000180248,0.00002129414,0.000405482,0.0002028568,0.002836946],"genre_scores_gemma":[0.9947332,0.0002913821,0.00402771,0.00002248031,0.000008458561,0.00002888118,0.0002218217,0.00002497287,0.000641191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009862041,"threshold_uncertainty_score":0.003299236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0574355444038875,"score_gpt":0.2635059723396809,"score_spread":0.2060704279357934,"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."}}