{"id":"W4362466762","doi":"10.1016/j.apcatb.2023.122703","title":"Low-Pt supported on MOF-derived Ni(OH)2 with highly-efficiently electrocatalytic seawater splitting at high current density","year":2023,"lang":"en","type":"article","venue":"Applied Catalysis B: Environmental","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":100,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"National Natural Science Foundation of China; Taishan Scholar Foundation of Shandong Province","keywords":"Seawater; Overpotential; Catalysis; Water splitting; Superhydrophilicity; Cathode; Materials science; Adsorption; Chemical engineering; Electrolysis; Current density; Inorganic chemistry; Chemistry; Electrochemistry; Physical chemistry; Electrode; Photocatalysis; Electrolyte; Wetting; Composite material","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":[0.0001027711,0.0004122368,0.0003263539,0.0002181834,0.0001760846,0.0004028399,0.0004742827,0.0005859293,0.001551348],"category_scores_gemma":[0.0001866375,0.0001764666,0.0002135464,0.0002578131,0.0001444436,0.0003303032,0.0002750823,0.0004209954,0.0005308606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002180667,"about_ca_system_score_gemma":0.0001344845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009862018,"about_ca_topic_score_gemma":0.002462966,"domain_scores_codex":[0.9998857,0.000006487602,0.000009205637,0.0000263035,0.0000457994,0.00002661142],"domain_scores_gemma":[0.9999641,0.000004290154,0.000005995282,0.000007255136,0.00001031322,0.000007991921],"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":[0.00008553402,0.0000232966,0.000169958,0.00005680329,0.0000099653,0.0001352598,0.00002508511,0.00007353626,0.9954062,0.0001129215,0.0002385135,0.003662912],"study_design_scores_gemma":[0.000007925281,0.0000552568,0.00115768,0.00000333217,0.00001180448,0.00008779798,0.00001941549,0.0008269757,0.9957806,0.00002701745,0.00201669,0.000005520563],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923534,0.0008651423,0.002737602,0.0001508259,0.0001048058,0.0000184677,0.0002874486,0.0002868376,0.003195491],"genre_scores_gemma":[0.9947978,0.0002342494,0.001701609,0.00003643936,0.00001223653,0.00001102601,0.0002988439,0.00002324418,0.00288443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001551348,"threshold_uncertainty_score":0.005189836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004949364834344328,"score_gpt":0.1826340873354714,"score_spread":0.177684722501127,"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."}}