{"id":"W2904222701","doi":"10.1016/j.jcat.2018.11.022","title":"Probing the surface sensitivity of dimethyl ether oxidation on epitaxially-grown PtRh(1 0 0) alloys: Insights into the challenge of improving on Pt(1 0 0)","year":2018,"lang":"en","type":"article","venue":"Journal of Catalysis","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bimetallic strip; Dimethyl ether; Chemistry; Electrocatalyst; Substrate (aquarium); Oxide; Epitaxy; Catalysis; Oxidation state; Electrochemistry; Transition metal; Sulfuric acid; Chemical engineering; Inorganic chemistry; Layer (electronics); Electrode; 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":[0.002903218,0.0002498214,0.0005252014,0.0002650499,0.0002232137,0.00002588898,0.0004110515,0.0001548763,0.00003091097],"category_scores_gemma":[0.000632519,0.000137753,0.0003953051,0.0005813577,0.0002575746,0.0003249713,0.0001103655,0.0004533804,0.00001665436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002345721,"about_ca_system_score_gemma":0.0001447614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002145351,"about_ca_topic_score_gemma":0.002668846,"domain_scores_codex":[0.9970527,0.000644209,0.0007928282,0.0002513505,0.001003449,0.0002554555],"domain_scores_gemma":[0.9959363,0.0008309382,0.001565487,0.0007378251,0.0008590701,0.00007042233],"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":[0.0004941834,0.000248421,0.00005068851,0.00004465455,0.0007624625,0.00001337303,0.01060113,0.006346374,0.948389,0.005778632,0.00007424456,0.02719684],"study_design_scores_gemma":[0.0005264209,0.001013637,0.0003910263,0.0001439978,0.0003593,0.00001294361,0.0005863162,0.001497402,0.9922644,0.001407817,0.001625554,0.0001711333],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946171,0.0003224015,0.0006781137,0.001897637,0.0002299251,0.0001180704,4.381882e-7,0.00001397928,0.002122354],"genre_scores_gemma":[0.9990286,0.0001173012,0.0002374646,0.0001121966,0.0003195434,0.000001749368,0.000006231605,0.0000376145,0.0001393598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04387545,"threshold_uncertainty_score":0.5617406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01154379139074869,"score_gpt":0.2292064456298943,"score_spread":0.2176626542391456,"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."}}