{"id":"W2322589922","doi":"10.1021/la4018757","title":"Roughening and Long-Range Nanopatterning of Au(111) through Potential Cycling in Aqueous Acidic Media","year":2013,"lang":"en","type":"article","venue":"Langmuir","topic":"nanoparticles nucleation surface interactions","field":"Earth and Planetary Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Deutsche Forschungsgemeinschaft","keywords":"Aqueous solution; Cycling; Aqueous medium; Range (aeronautics); Nanotechnology; Materials science; Chemical engineering; Chemistry; Organic chemistry; Composite material","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001234385,0.00008454364,0.0001392555,0.00005418072,0.00006883382,0.00003767607,0.00007809683,0.00004747693,0.001131896],"category_scores_gemma":[0.00004781659,0.00007771017,0.00002659431,0.0001500546,0.00008045082,0.0004504471,0.00001522178,0.0001130191,0.0002630183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007073426,"about_ca_system_score_gemma":0.00001570624,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008242235,"about_ca_topic_score_gemma":0.01213285,"domain_scores_codex":[0.9991542,0.00005177731,0.000251988,0.0001633626,0.0001485864,0.000230142],"domain_scores_gemma":[0.9995672,0.0001726954,0.00008763387,0.00009004868,0.00003252206,0.00004986933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001605813,0.00001138387,0.9736802,0.00001671019,0.000007667747,0.00003847382,0.003066742,0.0005614423,0.006364916,0.000008100384,0.00004333927,0.01618499],"study_design_scores_gemma":[0.000252072,0.00002378147,0.9917487,0.00003435959,0.000008389067,0.00004006152,0.001294516,0.002245937,0.003884861,0.0002474295,0.000123756,0.00009612607],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976877,0.0003973454,0.0003065556,0.0003579904,0.0002373865,0.00008473141,0.00001413337,0.00002958091,0.0008845548],"genre_scores_gemma":[0.9987305,0.00001836042,0.00100539,0.0000913015,0.00006457916,9.634051e-7,0.0000218742,0.000004938121,0.00006203562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01806853,"threshold_uncertainty_score":0.9997812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459119032840319,"score_gpt":0.2225282407845736,"score_spread":0.2079370504561704,"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."}}