{"id":"W3008644931","doi":"10.1039/c9ra10771a","title":"Enhancement in the performance of nanostructured CuO–ZnO solar cells by band alignment","year":2020,"lang":"en","type":"article","venue":"RSC Advances","topic":"ZnO doping and properties","field":"Materials Science","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stillwater (Canada)","funders":"University of Tulsa; Office of Experimental Program to Stimulate Competitive Research; National Aeronautics and Space Administration","keywords":"Materials science; Heterojunction; Dielectric spectroscopy; Doping; Optoelectronics; Passivation; Nanorod; Chemical bath deposition; Schottky barrier; X-ray photoelectron spectroscopy; Band diagram; Band bending; Band offset; Energy conversion efficiency; Nanotechnology; Chemical engineering; Electrode; Band gap; Layer (electronics); Electrochemistry; Diode; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008104188,0.0004126357,0.0002740575,0.0001063159,0.0001292906,0.0003483571,0.0002902881,0.0002821446,0.0008092726],"category_scores_gemma":[0.0002021383,0.0001149704,0.000114609,0.0001592239,0.0001133478,0.0002568293,0.0001187769,0.0002623564,0.0002330001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002730924,"about_ca_system_score_gemma":0.000153904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001789691,"about_ca_topic_score_gemma":0.003678465,"domain_scores_codex":[0.9999374,0.000003372755,0.000004657318,0.00001962978,0.00001623099,0.00001875593],"domain_scores_gemma":[0.9999585,0.000009130614,0.000005971163,0.000004682245,0.00001370347,0.000008010052],"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":[0.00002308746,0.00001091296,0.0001392324,0.00001621561,0.000002362997,0.00001202436,0.00000395614,0.0000799777,0.9982458,0.00002140028,0.00002556773,0.001419411],"study_design_scores_gemma":[0.000005276245,0.00005253723,0.001172241,0.000002329164,0.000008306637,0.00002683332,0.00000699475,0.001314781,0.9968371,0.00001465515,0.0005564607,0.000002505462],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908932,0.00145893,0.003918353,0.00009737674,0.00007900992,0.00002179156,0.0002311237,0.0001512592,0.003148906],"genre_scores_gemma":[0.9966925,0.0003558352,0.002057435,0.00001726612,0.000005935874,0.000006836542,0.00008105269,0.00001638358,0.0007667427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001789691,"threshold_uncertainty_score":0.003558517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01198892645576682,"score_gpt":0.2249651144546824,"score_spread":0.2129761879989155,"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."}}