{"id":"W4387067552","doi":"10.11159/ijmmme.2023.002","title":"Nano-twinned Ag Thin Films on Graphene/ Si Photoelectrochemical Cell for CO<sub>2</sub> Reduction and Hydrogen Production","year":2023,"lang":"en","type":"article","venue":"International Journal of Mining Materials and Metallurgical Engineering","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hsinchu Science Park Bureau, Ministry of Science and Technology, Taiwan","keywords":"Graphene; Materials science; Nano-; Hydrogen; Hydrogen production; Thin film; Photoelectrochemical cell; Optoelectronics; Chemical engineering; Nanotechnology; Reduction (mathematics); Water splitting; Catalysis; Photocatalysis; Electrode; Chemistry; Composite material; Physical chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004567184,0.0001516729,0.0002516577,0.0002668328,0.00004875751,0.00007041374,0.0001074797,0.00009184437,0.00002668485],"category_scores_gemma":[0.0001263215,0.0001340519,0.00009597427,0.0001021047,0.00002649625,0.0001470845,0.00003229419,0.00009353764,0.000002282675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003501922,"about_ca_system_score_gemma":0.00001687761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000418104,"about_ca_topic_score_gemma":2.884861e-7,"domain_scores_codex":[0.9989275,0.00002077374,0.0004249215,0.0002006861,0.0002595541,0.00016658],"domain_scores_gemma":[0.9994674,0.00005616544,0.0001950301,0.00006654516,0.0001317194,0.00008312923],"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":[0.0002338659,0.00003080853,5.963257e-7,0.0000304882,0.0001024237,0.00001033297,0.0001050431,0.004346574,0.9928158,0.0004831635,0.0002517927,0.001589128],"study_design_scores_gemma":[0.0004719239,0.0001733816,0.00002664219,0.00009087566,0.00003998003,0.0004127789,0.00006543172,0.001499857,0.9938378,0.0002376859,0.003006525,0.0001371495],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980074,0.00009363853,0.000402151,0.0002329116,0.001029601,0.0001043799,0.000008515947,0.00008304404,0.0000383296],"genre_scores_gemma":[0.9977748,0.0005107862,0.0008701639,0.00001674313,0.0006697451,0.00002592621,0.00004093848,0.00002755919,0.00006332537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002846717,"threshold_uncertainty_score":0.5466478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009832117861029189,"score_gpt":0.2318377960495109,"score_spread":0.2220056781884817,"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."}}