{"id":"W3011838618","doi":"10.1016/j.apsusc.2020.146059","title":"Surface engineering by doping manganese into cobalt phosphide towards highly efficient bifunctional HER and OER electrocatalysis","year":2020,"lang":"en","type":"article","venue":"Applied Surface Science","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":186,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"National Natural Science Foundation of China","keywords":"Overpotential; Electrocatalyst; Oxygen evolution; Bifunctional; Water splitting; Materials science; Catalysis; Chemical engineering; Phosphide; Electrochemistry; Anode; Cobalt; Inorganic chemistry; Nanotechnology; Chemistry; Electrode; Metallurgy; 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":[0.00009121175,0.0002261155,0.0001286392,0.0001165623,0.0001151503,0.0003297032,0.0002328733,0.0002000751,0.0007740308],"category_scores_gemma":[0.000110047,0.0001368581,0.000096118,0.0001128662,0.0001689689,0.0002257099,0.0002033787,0.0002808087,0.0002479521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003572226,"about_ca_system_score_gemma":0.0001453558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007533489,"about_ca_topic_score_gemma":0.002075113,"domain_scores_codex":[0.999935,0.000005839734,0.000005164499,0.00001554639,0.00002130625,0.00001714098],"domain_scores_gemma":[0.9999746,0.00000360397,0.000006657096,0.000004188951,0.000006015396,0.000005017148],"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":[0.00003552174,0.00001392564,0.0001255769,0.00004229549,0.000004808798,0.00005393959,0.00001499033,0.0002260018,0.9961787,0.0007205081,0.0001117439,0.002472036],"study_design_scores_gemma":[0.000004570375,0.00003294582,0.0003171466,0.00000215254,0.00000494189,0.00006885234,0.00001302637,0.001892885,0.9958547,0.00008942758,0.001716425,0.000002920763],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813557,0.0005569777,0.01125368,0.0002782132,0.00005096802,0.00002320942,0.0001807149,0.0002803878,0.006020109],"genre_scores_gemma":[0.9953001,0.0001866517,0.002321734,0.00002415819,0.000003403219,0.000006860892,0.00007631323,0.00002526569,0.002055511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007740308,"threshold_uncertainty_score":0.002591848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005534377499615044,"score_gpt":0.1958651141286354,"score_spread":0.1903307366290204,"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."}}