{"id":"W3015906449","doi":"10.1038/s43246-021-00174-7","title":"Microscopic relaxation channels in materials for superconducting qubits","year":2021,"lang":"en","type":"preprint","venue":"Communications Materials","topic":"Quantum and electron transport phenomena","field":"Physics and Astronomy","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Angstrom Engineering (Canada)","funders":"Army Research Office; Materials Research Science and Engineering Center, Harvard University; Division of Materials Research; Office of Science; National Defense Science and Engineering Graduate; U.S. Department of Energy; Princeton University; Brookhaven National Laboratory; National Institute of Standards and Technology; Alexander von Humboldt-Stiftung; National Science Foundation","keywords":"Qubit; Transmon; Superconductivity; Condensed matter physics; Phase qubit; Grain boundary; Relaxation (psychology); Niobium; Materials science; Josephson effect; Quantum decoherence; Coherence (philosophical gambling strategy); Nanotechnology; Physics; Quantum; Quantum mechanics; Microstructure; Composite material; Metallurgy","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009438299,0.0003070575,0.0006600709,0.0001370924,0.0002132799,0.0004415517,0.0009329567,0.0001916649,0.00110642],"category_scores_gemma":[0.00003188592,0.000348747,0.00009740701,0.0001140462,0.00007373829,0.0002046127,0.0005231799,0.0002683771,0.00001557005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001011498,"about_ca_system_score_gemma":0.0002454175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001276696,"about_ca_topic_score_gemma":0.00006830903,"domain_scores_codex":[0.9978819,0.0003175472,0.0008819441,0.0004346309,0.0001077876,0.0003762135],"domain_scores_gemma":[0.9974456,0.0001311767,0.0003837626,0.001781879,0.0002116246,0.00004595785],"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":[0.00001862383,0.0002684626,0.0006042017,0.0003977692,0.0001065543,3.047075e-7,0.002264027,0.00007065764,0.9796643,0.01601828,0.0001592439,0.0004275712],"study_design_scores_gemma":[0.0007804453,0.00003042317,0.0008707249,0.0007727366,0.0001019189,6.991964e-7,0.001382296,0.00003028385,0.9699124,0.02354227,0.001944008,0.0006318089],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940364,0.0005668856,0.001133043,0.0006229279,0.001318661,0.001124791,0.0007218346,0.00004978433,0.0004257198],"genre_scores_gemma":[0.9859848,0.0001513619,0.003390557,0.00003326415,0.0003385232,0.001472312,0.008409196,0.00006075861,0.0001592258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009751921,"threshold_uncertainty_score":0.9998965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04604701476527366,"score_gpt":0.3052829327256373,"score_spread":0.2592359179603637,"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."}}