{"id":"W2396862896","doi":"10.1038/srep12925","title":"N Doping to ZnO Nanorods for Photoelectrochemical Water Splitting under Visible Light: Engineered Impurity Distribution and Terraced Band Structure","year":2015,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":251,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada)","funders":"Program for New Century Excellent Talents in University; Fundamental Research Funds for the Central Universities; Natural Science Foundation of Jiangsu Province; Government of Jiangsu Province; Natural Science Foundation of Shaanxi Province; National Natural Science Foundation of China","keywords":"Nanorod; Dopant; Water splitting; Materials science; Photocurrent; Visible spectrum; Doping; Optoelectronics; Semiconductor; Nanotechnology; Photocatalysis; 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":[],"consensus_categories":[],"category_scores_codex":[0.0007921534,0.0002150589,0.0002705913,0.0001099832,0.0002391498,0.0002433427,0.0001214815,0.0001370504,0.00002183802],"category_scores_gemma":[0.0002525749,0.0001675899,0.00007270042,0.0003126677,0.00006605691,0.0002524865,0.0001086398,0.0001256702,0.000002168205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002040424,"about_ca_system_score_gemma":0.00005697986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006534203,"about_ca_topic_score_gemma":0.00006978826,"domain_scores_codex":[0.997816,0.00002320302,0.0004687506,0.0008544956,0.0003328705,0.0005047196],"domain_scores_gemma":[0.9986932,0.00002252201,0.0001264437,0.0006537073,0.0002524633,0.0002517051],"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":[0.00002782213,0.0000161522,0.000111747,0.00002624427,0.0000162163,0.00001076378,0.0003292581,0.0004429279,0.9953495,0.0001957708,0.003152755,0.0003208808],"study_design_scores_gemma":[0.0001501451,0.00003643087,0.00002836801,0.00002601834,0.00002005046,0.00009653701,0.00004627044,0.0003690891,0.9163801,0.04969686,0.032924,0.0002261139],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676352,0.00005513107,0.03010255,0.0001833938,0.000884687,0.000676206,0.00001227492,0.0002395747,0.0002109903],"genre_scores_gemma":[0.9935986,4.002655e-7,0.004859039,0.00002887112,0.0001026599,0.00009482947,0.0007350659,0.0000287943,0.0005517314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07896934,"threshold_uncertainty_score":0.6834118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01158877635497686,"score_gpt":0.2671176855599072,"score_spread":0.2555289092049304,"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."}}