{"id":"W4321446098","doi":"10.1103/physrevd.107.045011","title":"How measuring a quantum field affects entanglement harvesting","year":2023,"lang":"en","type":"article","venue":"Physical review. D/Physical review. D.","topic":"Quantum Electrodynamics and Casimir Effect","field":"Physics and Astronomy","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; University of Waterloo","funders":"Ministry of Colleges and Universities; Universitat Politècnica de Catalunya; Natural Sciences and Engineering Research Council of Canada; Government of Canada; “la Caixa” Foundation","keywords":"Quantum entanglement; Detector; Physics; Measure (data warehouse); Field (mathematics); Quantum sensor; Coupling (piping); Quantum metrology; Quantum; Quantum mechanics; Optics; Quantum discord; Computer science; Quantum network; Materials science; Data mining; Mathematics","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"],"consensus_categories":[],"category_scores_codex":[0.0008259397,0.0007723081,0.001751246,0.00008398521,0.0002871818,0.0001851829,0.000677452,0.00003648518,0.00005794339],"category_scores_gemma":[0.0005818118,0.0006337505,0.001369251,0.001520997,0.00007088753,0.000375387,0.0003327165,0.0007989222,0.000748134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009603017,"about_ca_system_score_gemma":0.0001112249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000483485,"about_ca_topic_score_gemma":0.000003547603,"domain_scores_codex":[0.9957662,0.0004680508,0.0005335773,0.00101864,0.0009779024,0.001235684],"domain_scores_gemma":[0.996868,0.001037763,0.0004355249,0.0009731064,0.000146683,0.0005389036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003869466,0.001886871,0.007992532,0.02223336,0.0007394375,0.00008481625,0.0001479886,0.00003261205,0.08883399,0.4152861,0.0638775,0.3988461],"study_design_scores_gemma":[0.003307436,0.003621034,0.004136181,0.09272353,0.004691536,0.00002300743,0.0001440733,0.1050584,0.09031789,0.3473899,0.3412645,0.007322476],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9556625,0.02028299,0.0006361063,0.01150706,0.0004378997,0.003412209,0.00007245435,0.0005279639,0.00746075],"genre_scores_gemma":[0.9815804,0.01348733,0.00003125346,0.001968757,0.001600006,0.0008194583,0.0001365086,0.0001136593,0.0002626577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3915236,"threshold_uncertainty_score":0.9996114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02013553163269732,"score_gpt":0.3897564799546392,"score_spread":0.3696209483219419,"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."}}