{"id":"W4360614840","doi":"10.3390/ma16072561","title":"Material-Inherent Noise Sources in Quantum Information Architecture","year":2023,"lang":"en","type":"review","venue":"Materials","topic":"Advancements in Semiconductor Devices and Circuit Design","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Canada First Research Excellence Fund; Industry Canada","keywords":"Computer science; Quantum computer; Noise (video); Quantum entanglement; Quantum; Quantum technology; Quantum information; Quantum information science; Scale (ratio); Coherence (philosophical gambling strategy); Computer engineering; Open quantum system; Artificial intelligence; Physics; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002640684,0.0004739531,0.001326126,0.0003318691,0.00002962397,0.0002277973,0.000343299,0.0003020659,0.0006159752],"category_scores_gemma":[0.00001696292,0.0003977068,0.0001062427,0.0002417455,0.00001973363,0.0002444108,0.00006230886,0.0001636346,0.001000715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001642189,"about_ca_system_score_gemma":0.00002819308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002735099,"about_ca_topic_score_gemma":0.000004799975,"domain_scores_codex":[0.9980545,0.00009310787,0.001078284,0.0001988335,0.0001822264,0.0003930602],"domain_scores_gemma":[0.9993266,0.0000455264,0.0002182213,0.0003443947,0.0000130731,0.00005212436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007873869,0.00001916852,0.000001093121,0.1191399,0.0002308801,0.00002788577,0.0005242875,0.001538238,0.001359949,0.0003759165,0.001338679,0.8754361],"study_design_scores_gemma":[0.00009484783,0.0000114851,0.000001661988,0.006956575,0.00008313394,0.000009681194,0.00003127179,0.000009397474,0.0004678405,0.0002488075,0.9916332,0.0004520901],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002374996,0.9880041,0.0001586482,0.000002017146,0.005694519,0.001529127,0.001113278,0.0007649728,0.0003583464],"genre_scores_gemma":[0.0001614144,0.997919,0.00003679033,0.00001231699,0.0003464508,0.0004154652,0.0009180866,0.000119824,0.00007066142],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9902945,"threshold_uncertainty_score":0.9998475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04620744712437211,"score_gpt":0.2898630875977404,"score_spread":0.2436556404733683,"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."}}