{"id":"W2888807544","doi":"10.1103/physreva.98.020102","title":"Ramsey interferometry in correlated quantum noise environments","year":2018,"lang":"en","type":"article","venue":"Physical review. A/Physical review, A","topic":"Cold Atom Physics and Bose-Einstein Condensates","field":"Physics and Astronomy","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Army Research Office; Fonds de recherche du Québec – Nature et technologies","keywords":"Quantum entanglement; Noise (video); Statistical physics; Physics; Interferometry; Observable; Quantum; Quantum metrology; Scaling; Amplitude; Gaussian noise; Gaussian; Quantum noise; Uncorrelated; Quantum mechanics; Quantum discord; Computer science; Statistics; Algorithm; Mathematics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004012083,0.0008105764,0.001999361,0.00009248316,0.0001557582,0.00007071777,0.0008293583,0.000051405,0.0006560226],"category_scores_gemma":[0.0001249034,0.0006661983,0.0009602325,0.001351254,0.0003532692,0.0003831025,0.0004618748,0.0008621587,0.003817609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001235906,"about_ca_system_score_gemma":0.00008506272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001045272,"about_ca_topic_score_gemma":0.000003499762,"domain_scores_codex":[0.9958535,0.000338984,0.001010185,0.001116561,0.0007448626,0.0009358767],"domain_scores_gemma":[0.9974268,0.0003865458,0.0004930939,0.001168632,0.0001097373,0.0004151643],"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":[0.0001872843,0.01551746,0.03396453,0.009139204,0.001110722,0.00006025373,0.0007058857,0.000009224,0.3063933,0.203422,0.02181934,0.4076707],"study_design_scores_gemma":[0.006223648,0.003053746,0.02379472,0.09919837,0.003299097,0.00001196025,0.0001344686,0.03292459,0.1313285,0.3337787,0.3584766,0.007775664],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693182,0.01825459,0.000820539,0.0008735316,0.0003402565,0.001978439,0.00007281447,0.00008483094,0.008256831],"genre_scores_gemma":[0.9870349,0.009304255,0.00003213693,0.00161861,0.001299904,0.0003064123,0.0001090273,0.0000926562,0.0002021676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3998951,"threshold_uncertainty_score":0.999579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01325855534067189,"score_gpt":0.336458989386134,"score_spread":0.3232004340454621,"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."}}