{"id":"W4366168976","doi":"10.1103/prxquantum.4.020308","title":"Memory and Transduction Prospects for Silicon <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\" overflow=\"scroll\"><mml:mi>T</mml:mi></mml:math> Center Devices","year":2023,"lang":"en","type":"article","venue":"PRX Quantum","topic":"Quantum optics and atomic interactions","field":"Physics and Astronomy","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Coquitlam College; Simon Fraser University","funders":"National Research Council Canada; National Physical Laboratory; National Institute of Metrology, China; British Columbia Knowledge Development Fund; European Commission; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canadian Institute for Advanced Research","keywords":"Population; Computer science; Qubit; Quantum computer; Physics; Quantum; 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":[0.0002214368,0.0002109336,0.0001536838,0.00007186922,0.0004050273,0.0002074668,0.0001564,0.0001211265,0.00005320086],"category_scores_gemma":[0.00002492104,0.0002330341,0.000247845,0.0001430925,0.00008893808,0.0003362121,0.00008315904,0.0002424991,0.0002702671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008293781,"about_ca_system_score_gemma":0.00008735089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001363353,"about_ca_topic_score_gemma":0.00004546426,"domain_scores_codex":[0.9986203,0.00002228499,0.0003404552,0.0003968914,0.0002063517,0.0004137741],"domain_scores_gemma":[0.9992018,0.0001514273,0.0002057035,0.0002823906,0.00004823256,0.000110421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000993307,0.0001296179,0.0001395274,0.0001643004,0.0001581624,0.000007909674,0.0006380996,0.0001217021,0.003086496,0.9940195,0.0005584831,0.0008768591],"study_design_scores_gemma":[0.0007720345,0.0002107735,0.0004381723,0.0001722924,0.0001427464,0.00001999104,0.001111031,0.970913,0.01391501,0.003486724,0.008533156,0.0002850525],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965628,0.00006117378,0.0006223734,0.0004563444,0.000993496,0.0001123862,0.0001813169,0.00008961633,0.0009205171],"genre_scores_gemma":[0.9981414,0.00003995791,0.0001947483,0.0001111908,0.0007078921,0.0002469347,0.0002971447,0.00006758099,0.0001931673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9905328,"threshold_uncertainty_score":0.9502856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01589672195393033,"score_gpt":0.2544002928337149,"score_spread":0.2385035708797846,"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."}}