{"id":"W3042618546","doi":"10.1039/d0ta02681f","title":"Enhancing metal–support interaction by <i>in situ</i> ion-exchanging strategy for high performance Pt catalysts in hydrogen evolution reaction","year":2020,"lang":"en","type":"article","venue":"Journal of Materials Chemistry A","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Fundamental Research Funds for the Central Universities; Postdoctoral Foundation of Hei Long Jiang Province; China Postdoctoral Science Foundation; China Scholarship Council; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Western University; National Natural Science Foundation of China; Canada Research Chairs; Canadian Light Source","keywords":"In situ; Catalysis; Metal; Ion; Hydrogen; Chemistry; Chemical engineering; Materials science; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001797501,0.0005275611,0.000238731,0.000165044,0.0001641412,0.0002667952,0.0005472153,0.000467852,0.001505004],"category_scores_gemma":[0.000164561,0.0002517581,0.0002072774,0.000159628,0.0002040346,0.000380323,0.000247734,0.0005038689,0.0006448507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001843427,"about_ca_system_score_gemma":0.000128535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002690761,"about_ca_topic_score_gemma":0.0005233056,"domain_scores_codex":[0.9998614,0.00002148948,0.00001615226,0.00003187341,0.00003426847,0.0000346961],"domain_scores_gemma":[0.999943,0.00001022452,0.0000186397,0.000008594594,0.000009741051,0.000009820786],"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":[0.00007635274,0.0000418578,0.00004338569,0.00008017012,0.000006480303,0.00009578807,0.0000280663,0.0001127975,0.9963378,0.0003705015,0.0001890848,0.002617678],"study_design_scores_gemma":[0.000005972355,0.00006480565,0.00008893052,0.000001305656,0.000005534725,0.00007104949,0.000007012099,0.0005277237,0.9981275,0.00002901942,0.001067178,0.000003907021],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9633989,0.00130474,0.02111981,0.0006344745,0.0001326074,0.00007769185,0.0002935353,0.0003952433,0.01264296],"genre_scores_gemma":[0.9899994,0.0005080044,0.006159955,0.0001031577,0.00001776568,0.00002382721,0.0001371065,0.0000393728,0.00301142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001505004,"threshold_uncertainty_score":0.005034804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009722189866393987,"score_gpt":0.2248957254589195,"score_spread":0.2151735355925255,"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."}}