{"id":"W4220820504","doi":"10.1088/1361-6528/ac5b52","title":"Laser modification of Au–CuO–Au structures for improved electrical and electro-optical properties","year":2022,"lang":"en","type":"article","venue":"Nanotechnology","topic":"ZnO doping and properties","field":"Materials Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Materials science; Irradiation; Laser; Optoelectronics; Nanomaterials; Electrical resistivity and conductivity; Resistive touchscreen; Nanowire; Conductivity; Nanotechnology; Nanosecond; Copper oxide; Electrode; Oxide; Optics; Metallurgy; Electrical engineering","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":[0.0002434992,0.0001011181,0.0002040593,0.0001130339,0.0002660969,0.00001385609,0.0002126773,0.0001342273,0.00002998129],"category_scores_gemma":[0.0001567272,0.00007967529,0.00003105349,0.0001363884,0.0002469419,0.00004502416,0.0001235418,0.000168084,0.000001880671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000104058,"about_ca_system_score_gemma":0.0001630093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001354526,"about_ca_topic_score_gemma":0.00001603029,"domain_scores_codex":[0.9990427,0.00005201719,0.0002102991,0.0002716745,0.0001018769,0.0003214574],"domain_scores_gemma":[0.9995784,0.00004901348,0.0000822736,0.0002110199,0.00005480022,0.00002451496],"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":[0.0001943342,0.00003043387,0.00004862699,0.00002438065,0.000006468862,2.296202e-7,0.0001526685,0.00008773791,0.9781903,0.007153299,0.00007430345,0.01403722],"study_design_scores_gemma":[0.000333783,0.0008039698,0.00007501751,0.000002732524,0.00001482916,0.0000228927,0.00007887106,0.009595886,0.9802758,0.005970911,0.002717802,0.0001075498],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957449,0.0003783914,0.001561661,0.001701909,0.0001388895,0.0003090451,0.00001574151,0.0001182371,0.00003118246],"genre_scores_gemma":[0.9977532,0.00001147839,0.001760329,0.00007005589,0.00003595363,0.0002012001,0.000004087824,0.00001313891,0.0001505786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01392967,"threshold_uncertainty_score":0.3249064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02196507707883042,"score_gpt":0.2409208885965053,"score_spread":0.2189558115176749,"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."}}