{"id":"W4409801741","doi":"10.1103/physrevlett.134.166301","title":"Sensing Quantum Vacuum Fluctuations with Non-Gaussian Electronic Noise","year":2025,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Mechanical and Optical Resonators","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; Canada First Research Excellence Fund; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Physics; Quantum fluctuation; Gaussian; Noise (video); Quantum; Statistical physics; Quantum mechanics; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004518642,0.0002080028,0.0002665195,0.0001809175,0.0002061766,0.0004888151,0.0004670139,0.0004858924,0.0003844359],"category_scores_gemma":[0.001760211,0.0001660511,0.00009548254,0.000217094,0.0008508992,0.0007472485,0.0006435163,0.0004314226,0.0000982505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002510599,"about_ca_system_score_gemma":0.0001228121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000177912,"about_ca_topic_score_gemma":0.0002048018,"domain_scores_codex":[0.9994867,0.0001371998,0.00001572391,0.0001168688,0.0001763049,0.00006718969],"domain_scores_gemma":[0.9993972,0.0003373253,0.0001261425,0.00005954449,0.00004481116,0.00003498698],"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":[0.0002539979,0.00009916571,0.003029875,0.00008591297,0.00002758364,0.000522135,0.0002706941,0.009746983,0.9492531,0.02430221,0.0003387687,0.01206946],"study_design_scores_gemma":[0.00005286441,0.0004406378,0.006397583,0.00002514437,0.00003047037,0.0007536401,0.0001788218,0.2979343,0.6804687,0.01162338,0.001993563,0.0001007205],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9468441,0.0002574415,0.05033316,0.0001818747,0.00006563264,0.00001154622,0.00003509409,0.0001281524,0.002142992],"genre_scores_gemma":[0.996693,0.00005683373,0.003008963,0.00003122165,0.0000147376,0.000004821684,0.000007986651,0.000006007164,0.0001763987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004888151,"threshold_uncertainty_score":0.002389729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006005686465675534,"score_gpt":0.2672911970767803,"score_spread":0.2612855106111048,"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."}}