{"id":"W4306888855","doi":"10.1038/s41563-022-01380-5","title":"Non-iridium-based electrocatalyst for durable acidic oxygen evolution reaction in proton exchange membrane water electrolysis","year":2022,"lang":"en","type":"article","venue":"Nature Materials","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":929,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Light Source (Canada)","funders":"Argonne National Laboratory; Division of Chemical, Bioengineering, Environmental, and Transport Systems; University of Pittsburgh; Division of Materials Research; Office of Science; Center for Research Computing, University of Pittsburgh; U.S. Department of Energy; National Science Foundation","keywords":"Electrocatalyst; Iridium; Oxygen evolution; Electrolysis of water; Electrolysis; Proton exchange membrane fuel cell; Proton; Chemistry; Materials science; Chemical engineering; Oxygen; Inorganic chemistry; Electrochemistry; Catalysis; Electrode; Organic chemistry; Physical chemistry; Electrolyte; Physics","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":[0.0001546983,0.0002678158,0.0002470152,0.0001615107,0.000188943,0.0003090977,0.0006118824,0.0003909384,0.00111836],"category_scores_gemma":[0.0001905005,0.0001916022,0.0001724646,0.0001688958,0.0001524545,0.0006233891,0.0003211526,0.000605957,0.00049276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000218403,"about_ca_system_score_gemma":0.0001858545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003455417,"about_ca_topic_score_gemma":0.001583989,"domain_scores_codex":[0.9998369,0.0000126216,0.00001111749,0.00003635709,0.00007456989,0.00002838777],"domain_scores_gemma":[0.9999456,0.000008189723,0.0000119749,0.000009412121,0.00001653058,0.000008234222],"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":[0.00004371536,0.00002680207,0.00005094401,0.00009156385,0.000005521333,0.00005479131,0.00001455896,0.00005720185,0.9944787,0.0002085068,0.0002200698,0.004747563],"study_design_scores_gemma":[0.000004409892,0.00007494626,0.0002995635,0.000002659152,0.000007543749,0.00006962846,0.000007217281,0.0007129607,0.9966022,0.00002187199,0.002193801,0.000003227719],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9683952,0.004922159,0.01402185,0.0003898802,0.0003074191,0.0000641675,0.000253353,0.0004409245,0.0112051],"genre_scores_gemma":[0.9873351,0.001187162,0.004728188,0.00007642736,0.00002249636,0.00001419927,0.0001515175,0.00005161918,0.006433369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00111836,"threshold_uncertainty_score":0.003741264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004595040169752231,"score_gpt":0.2148811896405615,"score_spread":0.2102861494708092,"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."}}