{"id":"W2019402082","doi":"10.1103/physrevlett.85.2925","title":"Better Schemes for Quantum Interrogation in Lossy Experiments","year":2000,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Mechanics and Applications","field":"Physics and Astronomy","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Lossy compression; Interrogation; Scheme (mathematics); Physics; Photon; Quantum; Space (punctuation); Statistical physics; Quantum mechanics; Free space; Theoretical physics; Computer science; Optics; Mathematics; Law; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0000673884,0.0001224209,0.0002148074,0.00001744088,0.00004125268,0.00001882197,0.0001320287,0.000004894838,0.0004003459],"category_scores_gemma":[0.000001304563,0.0001100781,0.0001439008,0.0001170624,0.00001743888,0.00009457831,0.00001395391,0.00008404923,0.0001887971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002190748,"about_ca_system_score_gemma":0.000009801883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001624848,"about_ca_topic_score_gemma":2.550106e-7,"domain_scores_codex":[0.9992753,0.00002149807,0.0002015058,0.0002209746,0.0000897557,0.0001909215],"domain_scores_gemma":[0.9996649,0.00003593172,0.0000512949,0.0001922434,0.00001330454,0.00004229923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003787949,0.001699321,0.001024852,0.0007587947,0.0001453517,0.000001364933,0.0006495839,0.00003107449,0.085945,0.5896303,0.02368567,0.2963908],"study_design_scores_gemma":[0.002420013,0.0001514144,0.0008499417,0.003326826,0.0001843692,7.314425e-7,0.0001399047,0.0640833,0.02048098,0.1851368,0.721858,0.00136771],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833649,0.0004126729,0.009191512,0.006080311,0.00003326027,0.0006079244,0.00001877398,0.00001728196,0.0002733069],"genre_scores_gemma":[0.9932608,0.00006228284,0.0002136423,0.005480938,0.0002309757,0.0006513955,0.00006786479,0.0000158238,0.00001629013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6981723,"threshold_uncertainty_score":0.4488854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02294293571320509,"score_gpt":0.3317271989588088,"score_spread":0.3087842632456037,"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."}}