{"id":"W4233659451","doi":"10.1002/ange.202013047","title":"Alloying Nickel with Molybdenum Significantly Accelerates Alkaline Hydrogen Electrocatalysis","year":2020,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Collaborative Innovation Center of Suzhou Nano Science and Technology; China Postdoctoral Science Foundation; Ministry of Science and Technology of the People's Republic of China; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Overpotential; Electrocatalyst; Bifunctional; Molybdate; Inorganic chemistry; Hydrogen; Nickel; Molybdenum; Chemistry; Alloy; Adsorption; Transition metal; Catalysis; Materials science; Electrochemistry; Electrode; Physical chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005165537,0.0002150355,0.000133531,0.00009033473,0.00007063058,0.0001855238,0.000176619,0.0001734761,0.001092219],"category_scores_gemma":[0.0001131907,0.0001142879,0.00009554211,0.00006946286,0.0001379899,0.000132124,0.0001276993,0.0001947376,0.0002471681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001493463,"about_ca_system_score_gemma":0.00009064797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005783408,"about_ca_topic_score_gemma":0.001078273,"domain_scores_codex":[0.9999543,0.000003504521,0.000003837953,0.000009611325,0.00001636366,0.00001239377],"domain_scores_gemma":[0.9999794,0.00000404956,0.000005497127,0.000003402681,0.000003257005,0.000004496043],"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":[0.00005806282,0.00001214199,0.0001323412,0.00002499903,0.00000503606,0.00002271293,0.000007430857,0.000143979,0.9979988,0.0001500181,0.00008601022,0.001358507],"study_design_scores_gemma":[0.000003822316,0.00003682884,0.0004254321,0.00000108914,0.000003394047,0.00001298428,0.000003822425,0.001424624,0.9973687,0.00001564004,0.0007022499,0.00000135844],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948028,0.0004970533,0.002379616,0.00006794123,0.00003745757,0.000007730257,0.00006564717,0.0001637876,0.001977827],"genre_scores_gemma":[0.9979808,0.0001471523,0.000861012,0.00001158638,0.000003565606,0.000003382399,0.00003985997,0.00001276947,0.0009399906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001092219,"threshold_uncertainty_score":0.003653884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01699066362692087,"score_gpt":0.2162964011547872,"score_spread":0.1993057375278663,"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."}}