{"id":"W3015364630","doi":"10.1002/anie.202003654","title":"Enhancing Oxygen Reduction Activity of Pt‐based Electrocatalysts: From Theoretical Mechanisms to Practical Methods","year":2020,"lang":"en","type":"review","venue":"Angewandte Chemie International Edition","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":328,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Oxygen reduction; Oxygen reduction reaction; Reduction (mathematics); Chemistry; Oxygen; Combinatorial chemistry; Chemical engineering; Electrochemistry; Electrode; Organic chemistry; Physical 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006742718,0.0005899247,0.001348481,0.0003996322,0.00007928885,0.00006112373,0.0005762153,0.0006298725,0.0009914616],"category_scores_gemma":[0.001485057,0.000567607,0.0006984,0.0006302706,0.0001060395,0.0003919575,0.0001944094,0.0007743422,0.000145588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001450224,"about_ca_system_score_gemma":0.0006278311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003769379,"about_ca_topic_score_gemma":0.00003922354,"domain_scores_codex":[0.9963385,0.000356442,0.000860366,0.0009848634,0.001072415,0.0003873828],"domain_scores_gemma":[0.9972064,0.0007810796,0.0007909889,0.0004978919,0.0004711933,0.0002524165],"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":[0.0003470864,0.0002824096,2.617395e-8,0.001139325,0.001251078,0.00003486991,0.0001026177,0.00001214712,0.6782377,0.05357765,0.002045536,0.2629695],"study_design_scores_gemma":[0.0001928393,0.00009486168,9.645731e-8,0.001301453,0.0006276792,0.00003147412,0.00001524151,0.0000705927,0.6697627,0.004243332,0.3233297,0.000330016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.00003693402,0.1595228,0.8265744,0.002170621,0.004029527,0.0008406459,0.0002014475,0.0003841237,0.006239494],"genre_scores_gemma":[0.02589412,0.8227413,0.1225834,0.000576807,0.008698907,0.0008906093,0.01777851,0.0004948639,0.0003415263],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.7039911,"threshold_uncertainty_score":0.9999217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02771333584727146,"score_gpt":0.350975728829154,"score_spread":0.3232623929818825,"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."}}