{"id":"W2340982766","doi":"10.1007/s10853-016-9987-3","title":"Titania-on-gold nanoarchitectures for visible-light-driven hydrogen evolution from water splitting","year":2016,"lang":"en","type":"article","venue":"Journal of Materials Science","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Education and Child Care","funders":"Jiangsu Provincial Department of Education; National Natural Science Foundation of China","keywords":"Materials science; Colloidal gold; Nanocomposite; Nanoparticle; Visible spectrum; Surface plasmon resonance; Photocatalysis; Irradiation; Nanotechnology; Chemical engineering; Water splitting; Plasmon; Hydrogen; Absorption (acoustics); Optoelectronics; Composite material; Catalysis","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":[],"consensus_categories":[],"category_scores_codex":[0.001425511,0.0001633476,0.0003236508,0.0002786424,0.0001502117,0.00009398855,0.0007353824,0.00006478054,0.0001485465],"category_scores_gemma":[0.0004146189,0.00008283454,0.0001039967,0.0001467303,0.0001880718,0.000547507,0.0001180852,0.0000549823,0.00004936655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002464677,"about_ca_system_score_gemma":0.00007332322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005346896,"about_ca_topic_score_gemma":0.00001090155,"domain_scores_codex":[0.9980686,0.00006551799,0.0006037155,0.0003527154,0.0005164834,0.0003930133],"domain_scores_gemma":[0.9986443,0.0001441371,0.0004258287,0.0004241234,0.0002491746,0.000112422],"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":[0.0001632521,0.00002336328,0.00003018391,0.000005700944,0.00001414154,0.000004839989,0.0001045948,0.0002591328,0.9967583,0.001311283,0.0001104916,0.001214693],"study_design_scores_gemma":[0.00035953,0.0002241114,0.0001562616,0.0001676966,0.00002054407,0.00002149742,0.00001303286,0.00001569356,0.9631271,0.03270931,0.003045785,0.000139479],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896156,0.00002224523,0.008927543,0.0004173653,0.0004642342,0.0001779221,0.0000283805,0.00005037322,0.0002963831],"genre_scores_gemma":[0.9833975,0.000007329008,0.01591824,0.00008552314,0.0004580421,0.00001567986,0.000001554191,0.00002297575,0.00009309167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03363127,"threshold_uncertainty_score":0.3377895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0122084763772705,"score_gpt":0.2693719908456453,"score_spread":0.2571635144683748,"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."}}