{"id":"W4311823640","doi":"10.1038/s41467-022-35458-0","title":"Atomic fluctuations lifting the energy degeneracy in Si/SiGe quantum dots","year":2022,"lang":"en","type":"article","venue":"Nature Communications","topic":"Semiconductor materials and devices","field":"Engineering","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Army Research Office; Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Research Chairs; U.S. Department of Defense","keywords":"Degenerate energy levels; Spins; Degeneracy (biology); Qubit; Condensed matter physics; Physics; Quantum dot; Spin (aerodynamics); Quantum; Supercell; Energy level splitting; Electron; Quantum mechanics","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":[0.0002385244,0.00009788956,0.0001046704,0.000100088,0.0004878426,0.00005021999,0.001060085,0.00007282387,0.0001547927],"category_scores_gemma":[0.00005336623,0.00008637575,0.00003872919,0.0004295121,0.00003332778,0.00009904058,0.0003642801,0.0006410879,0.000008835611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001012269,"about_ca_system_score_gemma":0.00003281479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001612401,"about_ca_topic_score_gemma":0.0008359532,"domain_scores_codex":[0.9992425,0.0001560633,0.0002257212,0.00009999143,0.0001215692,0.0001541946],"domain_scores_gemma":[0.9985234,0.0002867919,0.00004383165,0.0010915,0.00002991961,0.00002461075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000112163,0.0002197616,0.003329886,0.0000341741,0.0001299035,0.000003833663,0.006198635,0.03465724,0.4904581,0.4294674,0.03158132,0.003908505],"study_design_scores_gemma":[0.00038411,0.0000143523,0.01138256,0.000021035,0.00003186911,0.00002357841,0.001622629,0.1877636,0.006768117,0.004150998,0.7874108,0.0004263434],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9627696,0.02980472,0.00004949015,0.002083373,0.000879231,0.0001498132,0.00006397402,0.0002513879,0.003948448],"genre_scores_gemma":[0.9979661,0.0006329317,0.0004333935,0.0005135315,0.0000650747,0.0001866536,0.0001384223,0.00002614216,0.00003774378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7558295,"threshold_uncertainty_score":0.375214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0176008535570304,"score_gpt":0.259631412005606,"score_spread":0.2420305584485756,"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."}}