{"id":"W4318707249","doi":"10.1140/epjc/s10052-023-11199-2","title":"Disentangling the sources of ionizing radiation in superconducting qubits","year":2023,"lang":"en","type":"article","venue":"The European Physical Journal C","topic":"Radiation Effects in Electronics","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Laboratori Nazionali del Gran Sasso; Office of Science; Ministero dell’Istruzione, dell’Università e della Ricerca; U.S. Department of Energy","keywords":"Qubit; Quantum decoherence; Physics; Measure (data warehouse); Ionizing radiation; Superconductivity; Quantum computer; Work (physics); Quantum; Nuclear physics; Computational physics; Computer science; Quantum mechanics; Irradiation; Database","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":[0.0008447845,0.0003123647,0.0003648505,0.0005604591,0.0003808012,0.0006601504,0.00048317,0.0004311989,0.00149834],"category_scores_gemma":[0.002600637,0.0002713416,0.0003279477,0.0004551011,0.0009666699,0.0009410133,0.0006691936,0.0004331207,0.0001291411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006020769,"about_ca_system_score_gemma":0.0004567459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00101149,"about_ca_topic_score_gemma":0.001167266,"domain_scores_codex":[0.9997178,0.00008434007,0.00001669316,0.0000302416,0.0001096192,0.00004130629],"domain_scores_gemma":[0.99882,0.0007057018,0.0002251508,0.0000835881,0.0001120774,0.00005344992],"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":[0.0009589097,0.0003750588,0.05442216,0.0004432129,0.000249025,0.001649521,0.00103867,0.4019263,0.4185599,0.1017345,0.0007431755,0.01789959],"study_design_scores_gemma":[0.00007621327,0.0005189241,0.01347386,0.00005323863,0.0001192246,0.0003419227,0.0002252801,0.7739797,0.1994849,0.009665808,0.00198936,0.00007156638],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721829,0.0003396845,0.02402491,0.0001237167,0.00001802873,0.00002726412,0.00005141211,0.0001155467,0.003116476],"genre_scores_gemma":[0.9972994,0.00007052372,0.002296659,0.00001013655,0.000001894155,0.00000979682,0.00002370676,0.0000182514,0.0002697308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00149834,"threshold_uncertainty_score":0.005012453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01338237289706116,"score_gpt":0.2348282793902452,"score_spread":0.221445906493184,"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."}}