{"id":"W3104452886","doi":"10.17863/cam.9014","title":"Valley splitting of single-electron Si MOS quantum dots","year":2016,"lang":"en","type":"article","venue":"Strathprints: The University of Strathclyde institutional repository (University of Strathclyde)","topic":"Quantum and electron transport phenomena","field":"Physics and Astronomy","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Army Research Office; Australian Research Council; National Nuclear Security Administration; Office of Science; Center for Integrated Nanotechnologies; Sandia National Laboratories; Laboratory Directed Research and Development; U.S. Department of Energy","keywords":"Quantum dot; Silicon; Qubit; Electron; Physics; Condensed matter physics; Semiconductor; Quantum dot laser; Nanotechnology; Engineering physics; Materials science; Quantum; Computational physics; Optoelectronics; Quantum mechanics","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":[0.0001937314,0.0001343061,0.0001715864,0.0003287259,0.0003015895,0.0002888236,0.0003154456,0.0002670863,0.0009213687],"category_scores_gemma":[0.000582421,0.0001361911,0.00009711263,0.0002523789,0.0004257961,0.0003423969,0.0001560597,0.000304464,0.00008700942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004130012,"about_ca_system_score_gemma":0.0001091609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001248793,"about_ca_topic_score_gemma":0.002038111,"domain_scores_codex":[0.9998641,0.00001369693,0.000005113664,0.00004109535,0.00005545716,0.00002058524],"domain_scores_gemma":[0.9997225,0.0001161276,0.00004303181,0.00004080586,0.00005601012,0.00002144555],"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":[0.0002301268,0.0001186833,0.008384343,0.00009550846,0.00002967364,0.0001521418,0.0002472672,0.008445912,0.9703686,0.005751664,0.0004296481,0.005746502],"study_design_scores_gemma":[0.00004549967,0.0006022489,0.043972,0.00002118976,0.00002770855,0.0002493603,0.0003409454,0.2835834,0.6657696,0.003952725,0.001396094,0.0000392701],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981838,0.00006271608,0.0009910048,0.00002019301,0.000002804437,0.000004042304,0.00005838523,0.00001967532,0.0006572762],"genre_scores_gemma":[0.9992835,0.00001781965,0.0005387648,0.000005645587,9.001079e-7,0.000002715005,0.00003468455,0.000003443054,0.000112509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001248793,"threshold_uncertainty_score":0.003082275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009799028270091568,"score_gpt":0.1770354353612622,"score_spread":0.1672364070911706,"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."}}