{"id":"W2950228745","doi":"10.1103/physrevd.100.125004","title":"Quantum imaging using relativistic detectors","year":2019,"lang":"en","type":"article","venue":"Physical review. D/Physical review. D.","topic":"Random lasers and scattering media","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Council for Scientific and Industrial Research, South Africa","keywords":"Physics; Quantum entanglement; Quantum imaging; Unruh effect; Detector; Quantum; Inertial frame of reference; Quantum mechanics; Photon; Spontaneous parametric down-conversion; Ghost imaging; Classical mechanics; Optics; Quantum network","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":[0.001426447,0.0005259564,0.0006845014,0.000876529,0.0005656452,0.001548707,0.001061208,0.001578355,0.0017218],"category_scores_gemma":[0.001859076,0.0004465132,0.0007828178,0.0005691138,0.003907924,0.003011599,0.001331415,0.002062603,0.0004588714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001279975,"about_ca_system_score_gemma":0.0005695598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005682024,"about_ca_topic_score_gemma":0.0003539342,"domain_scores_codex":[0.999316,0.000270439,0.00003424132,0.0001493547,0.0001757965,0.00005420423],"domain_scores_gemma":[0.9993407,0.0002992522,0.00007720412,0.000173996,0.00008403109,0.00002481002],"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":[0.000005807639,0.000004574442,0.0000420842,0.00003947711,0.000005653813,0.00002858418,0.00004246313,0.001869865,0.001722311,0.9920827,0.0002902506,0.003866129],"study_design_scores_gemma":[0.00001824042,0.00007589472,0.0002780019,0.00006701289,0.00001933628,0.0003152229,0.00004746051,0.05218778,0.007181238,0.9143816,0.02537309,0.00005504923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02467474,0.0102115,0.8831131,0.002129293,0.0006728696,0.0001012827,0.0001183295,0.0003983778,0.07858046],"genre_scores_gemma":[0.6476986,0.01010303,0.3227123,0.00118092,0.0005846178,0.0002045919,0.0001161053,0.0001673615,0.01723248],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0017218,"threshold_uncertainty_score":0.00928694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01373404400743997,"score_gpt":0.3893819673784106,"score_spread":0.3756479233709706,"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."}}