{"id":"W2914258408","doi":"10.1021/acsaem.8b01777","title":"Superior Performance of Ag over Pt for Hydrogen Evolution Reaction in Water Electrolysis under High Overpotentials","year":2019,"lang":"en","type":"article","venue":"ACS Applied Energy Materials","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Siemens (Canada)","funders":"Engineering and Physical Sciences Research Council; Siemens","keywords":"Electrolysis; Catalysis; Electrolysis of water; Noble metal; Hydrogen production; Renewable energy; Water splitting; Materials science; Chemical engineering; Power to gas; Hydrogen; Platinum; Metal; Chemistry; Nanotechnology; Metallurgy; Physical chemistry; Electrode; Electrolyte; Engineering; Electrical engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005069418,0.0003470005,0.000676022,0.0003473395,0.00007496788,0.00003214032,0.0002820978,0.000339347,0.0004219001],"category_scores_gemma":[0.000008514346,0.0002989773,0.0001028326,0.0002592594,0.00004214823,0.0003337202,0.00009750747,0.00007336726,0.00008557472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004827614,"about_ca_system_score_gemma":0.00006087986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005046013,"about_ca_topic_score_gemma":0.0003538418,"domain_scores_codex":[0.9975424,0.00006835687,0.0007312548,0.0005653866,0.0004123698,0.0006802541],"domain_scores_gemma":[0.9989918,0.0000487296,0.0002390427,0.0005643389,0.0001002923,0.00005580032],"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":[0.0009702575,0.00006822107,0.00006862907,0.00007566706,0.0001233065,4.565604e-7,0.00003366146,0.008303761,0.9218677,0.06812858,0.00002920792,0.0003305467],"study_design_scores_gemma":[0.00172421,0.0001821115,0.001154379,0.00002557969,0.00008473384,0.0000036506,0.00001739223,0.000120716,0.9906063,0.004246137,0.001467183,0.0003675776],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982115,0.00003214962,0.00008430745,0.00003585742,0.0003837387,0.0002793063,0.000006737706,0.00008665249,0.0008797305],"genre_scores_gemma":[0.9978707,0.00007812811,0.00006771416,0.0001037972,0.0001811887,0.0002369159,0.0006318043,0.00009544612,0.0007343147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06873862,"threshold_uncertainty_score":0.9999462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004023991521524673,"score_gpt":0.1858859917139508,"score_spread":0.1818620001924262,"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."}}