{"id":"W4406133354","doi":"10.1016/j.apcatb.2025.125037","title":"Interfacial engineering of defects-enriched RuO2-Co3O4-x/Cobalt Foam heterojunctions with modulated Ru-O-Co electronic bridges for long-term efficient sulfur removal and direct alkaline seawater hydrogen production","year":2025,"lang":"en","type":"article","venue":"Applied Catalysis B: Environmental","topic":"Solar-Powered Water Purification Methods","field":"Energy","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Light Source (Canada)","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; National Natural Science Foundation of China; Natural Science Foundation of Shenzhen City","keywords":"Cobalt; Seawater; Sulfur; Heterojunction; Materials science; Hydrogen production; Chemical engineering; Hydrogen; Chemistry; Metallurgy; Engineering; Geology; Optoelectronics; Oceanography; 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":[0.0003936345,0.0003959206,0.0005091996,0.0003305438,0.0001689608,0.0000365944,0.0002053999,0.0001504409,0.00003330593],"category_scores_gemma":[0.00002274612,0.0003739569,0.0001532402,0.0003462639,0.0001571004,0.00009450688,0.00009600961,0.0001889212,0.00001521987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00044607,"about_ca_system_score_gemma":0.00002806707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000717521,"about_ca_topic_score_gemma":0.00003701455,"domain_scores_codex":[0.9977783,0.00006732444,0.0005253414,0.0008350656,0.0002857645,0.0005082242],"domain_scores_gemma":[0.999019,0.00006583529,0.0001900582,0.000617909,0.00001833949,0.00008880887],"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":[0.0003768782,0.0002865994,0.004467942,0.00007443348,0.0006761384,0.000002002328,0.0002810603,0.06414285,0.9268324,0.0001861082,0.00001117505,0.002662346],"study_design_scores_gemma":[0.001367824,0.0001147412,0.01576876,0.00001944923,0.0005710392,0.00002986413,0.00008278083,0.004958977,0.975953,0.00005002474,0.0006888754,0.0003946366],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790683,0.0002202226,0.01932689,0.00004397043,0.0001217261,0.0008686059,0.00002942835,0.0001387326,0.0001821468],"genre_scores_gemma":[0.9965916,0.00003487165,0.001456737,0.00002316296,0.00008307468,0.0003645759,0.0009436297,0.00007263471,0.0004297088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05918388,"threshold_uncertainty_score":0.9998713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005657309644444488,"score_gpt":0.2228653021703968,"score_spread":0.2172079925259523,"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."}}