{"id":"W4247896598","doi":"10.18130/v3t095","title":"Calculating Long Range Two Photon Visibility for Entanglement Swapping Based Quantum Communication via Sampling","year":2015,"lang":"en","type":"dissertation","venue":"Libra","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National University of Sciences and Technology; Alberta Innovates - Technology Futures","keywords":"Visibility; Quantum entanglement; Quantum information science; Photon; Computer science; Sampling (signal processing); Quantum; Monte Carlo method; Physics; Telecommunications; Optics; Mathematics; Quantum mechanics; Statistics; Detector","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"],"consensus_categories":[],"category_scores_codex":[0.0009763567,0.0003195996,0.0003569659,0.0003143863,0.0003611616,0.0004593665,0.001117405,0.0001796534,0.00005047043],"category_scores_gemma":[0.00007012523,0.000332958,0.000272883,0.0005114724,0.00002381062,0.001178888,0.0001052089,0.0002838926,0.00002455736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000110941,"about_ca_system_score_gemma":0.0001909402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009210544,"about_ca_topic_score_gemma":0.0001051894,"domain_scores_codex":[0.997753,0.0001256614,0.0007958812,0.0004434263,0.0005157865,0.000366213],"domain_scores_gemma":[0.997518,0.0002366405,0.0006590507,0.001128179,0.0003116736,0.0001464463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001423977,0.001861833,0.01453101,0.009606658,0.0008508725,0.00001167977,0.07322338,0.005219355,0.006007658,0.4101609,0.00953834,0.4675643],"study_design_scores_gemma":[0.001942287,0.0001153289,0.003614656,0.0005469892,0.00004842996,0.00000160648,0.0008347891,0.9604352,0.002571973,0.02435023,0.004801161,0.0007373479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1033508,0.0004697227,0.8902311,0.0001831742,0.0008536388,0.001406297,0.00002824364,0.0004413963,0.003035707],"genre_scores_gemma":[0.8913758,0.00001658557,0.1031597,0.0007378152,0.0001059682,0.0004021961,0.004062552,0.00005275647,0.0000865541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9552159,"threshold_uncertainty_score":0.9999123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04234832816052814,"score_gpt":0.33464599002739,"score_spread":0.2922976618668619,"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."}}