{"id":"W4313332832","doi":"10.1088/1361-6501/acaf12","title":"Optimal transmission estimation with dark counts","year":2022,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; National Research Council Canada; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Spurious relationship; Transmission (telecommunications); Detector; Photon; Quantum; Physics; Optics; Quantum imaging; Fock space; Statistical physics; Computer science; Quantum mechanics; Telecommunications; Quantum information; Mathematics; Statistics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007957163,0.00004026786,0.00003867215,0.0003273594,0.0004193584,0.00004676246,0.0003807998,0.00001217904,0.0000219339],"category_scores_gemma":[0.00001236192,0.00003191194,0.000005179355,0.001383772,0.000173183,0.0002777282,0.00007680721,0.00007237426,0.000008025215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005239761,"about_ca_system_score_gemma":0.0001588382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.226107e-7,"about_ca_topic_score_gemma":1.538243e-7,"domain_scores_codex":[0.9988,0.000006277708,0.00006574112,0.0001361518,0.0008728898,0.0001189816],"domain_scores_gemma":[0.9996259,0.000001759343,0.00003011846,0.0001473363,0.0001677123,0.00002721727],"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":[0.000007095879,0.00006200625,0.0003350963,0.000009247852,0.000005342893,0.000004012535,0.0004289174,0.0004186297,0.007323912,0.3705057,0.002634065,0.618266],"study_design_scores_gemma":[0.001086206,0.001175927,0.001421804,0.00002934486,0.00001138582,0.000221942,0.0008371192,0.6580755,0.02246507,0.01759064,0.2965888,0.0004962753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02239668,0.0001441905,0.9592896,0.003814062,0.0001277803,0.0001580556,5.389501e-7,0.0002941228,0.01377502],"genre_scores_gemma":[0.9794697,0.000004021448,0.02037608,0.0001209803,0.000001216144,0.00001889234,1.910678e-7,0.000001123673,0.000007829752],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.957073,"threshold_uncertainty_score":0.3225408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01267382820687446,"score_gpt":0.2121406959804584,"score_spread":0.1994668677735839,"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."}}