{"id":"W4360847426","doi":"10.1103/physrevd.107.065016","title":"Mutual information harvested by uniformly accelerated particle detectors","year":2023,"lang":"en","type":"article","venue":"Physical review. D/Physical review. D.","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Detector; Physics; Particle (ecology); Inertial frame of reference; Thermal; Function (biology); Mutual information; Trajectory; Quantum; Quantum mechanics; Optics; Computer science; Thermodynamics","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":[0.001940031,0.0004530464,0.0009094533,0.0004099303,0.0005721712,0.0009677325,0.001213677,0.001256311,0.002569675],"category_scores_gemma":[0.005790847,0.0003541209,0.000557682,0.0004462328,0.001900545,0.002811245,0.002200565,0.0009803169,0.000296347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001117842,"about_ca_system_score_gemma":0.0008716913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005503774,"about_ca_topic_score_gemma":0.0003163612,"domain_scores_codex":[0.9992023,0.0002561509,0.00003389617,0.0001209325,0.0002419911,0.0001446371],"domain_scores_gemma":[0.9976362,0.00143463,0.000252048,0.0003281718,0.0002246788,0.0001243736],"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":[0.0006411176,0.0001398034,0.001175566,0.0001503692,0.000106176,0.0006101803,0.0003395183,0.2962005,0.05716836,0.6283047,0.0008352341,0.01432841],"study_design_scores_gemma":[0.00007670367,0.0002177271,0.0004491817,0.00001792568,0.00003071053,0.0001458622,0.00006984055,0.9132012,0.01488011,0.07000245,0.0008525871,0.00005571627],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6048896,0.0004296147,0.3736438,0.0009033587,0.0001282846,0.000126178,0.0001017356,0.0002177194,0.01955974],"genre_scores_gemma":[0.9793711,0.00009879789,0.01711475,0.0001058212,0.000013446,0.00007423029,0.0000298314,0.0000215972,0.003170639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002569675,"threshold_uncertainty_score":0.01025999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02131754532896151,"score_gpt":0.3901554265467376,"score_spread":0.3688378812177761,"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."}}