{"id":"W3040378065","doi":"10.1088/1361-6528/aba2a3","title":"Effect of morphology on the photoelectrochemical performance of nanostructured Cu <sub>2</sub> O photocathodes","year":2020,"lang":"en","type":"article","venue":"Nanotechnology","topic":"Copper-based nanomaterials and applications","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Canada Foundation for Innovation; CMC Microsystems","keywords":"Photocurrent; Materials science; Photocathode; Mesoscopic physics; Overpotential; Reversible hydrogen electrode; Water splitting; FOIL method; Band gap; Semiconductor; Electrode; Photoelectrochemical cell; Optoelectronics; Photocatalysis; Analytical Chemistry (journal); Electrolyte; Composite material; Electrochemistry; Condensed matter physics; Physical chemistry; Working electrode","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002857556,0.0001831335,0.0004241066,0.00006532429,0.00007924528,0.000006473501,0.0005855148,0.0002903524,0.0001415371],"category_scores_gemma":[0.0002694287,0.000121101,0.00007712418,0.0003664327,0.0004855121,0.00002551049,0.0001276395,0.0001780187,0.00006256887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002062681,"about_ca_system_score_gemma":0.00004880689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008195308,"about_ca_topic_score_gemma":8.878162e-7,"domain_scores_codex":[0.9987239,0.000127107,0.0003649858,0.0003464759,0.0001528162,0.0002846752],"domain_scores_gemma":[0.9989263,0.0002771318,0.0002447458,0.0004606628,0.00005256556,0.00003862001],"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":[0.0004378528,0.00002887547,0.00005798534,0.00006952561,0.000005850628,0.000001187539,0.00004234884,0.000008888357,0.9962589,0.0007348826,0.0001853794,0.002168387],"study_design_scores_gemma":[0.000398301,0.001869464,0.00002478553,0.00001961708,0.00002171057,0.00001485597,0.000006811159,0.0001974777,0.9970546,0.0001100174,0.0001794564,0.0001028631],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975905,0.00005943144,0.00007486396,0.001441773,0.00009879298,0.0005496488,0.00004201948,0.0001163301,0.00002659291],"genre_scores_gemma":[0.9993287,0.0000417104,0.0001640984,0.0002533121,0.00003132938,0.0001551364,0.000006411381,0.00001771199,0.000001548865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002065524,"threshold_uncertainty_score":0.4938357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008096608038240029,"score_gpt":0.2232747721042538,"score_spread":0.2151781640660138,"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."}}