{"id":"W2523030729","doi":"10.1109/jqe.2016.2611443","title":"Testing Random-Detector-Efficiency Countermeasure in a Commercial System Reveals a Breakable Unrealistic Assumption","year":2016,"lang":"en","type":"article","venue":"IEEE Journal of Quantum Electronics","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Naval Research; Industry Canada; European Commission","keywords":"Blinding; Countermeasure; Quantum key distribution; Implementation; Imperfect; Key (lock)","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":[],"consensus_categories":[],"category_scores_codex":[0.002805267,0.0002199998,0.0004817043,0.00132211,0.0001493214,0.0001678351,0.0009272175,0.0001175205,0.000003850839],"category_scores_gemma":[0.0003430872,0.0001516721,0.0001892352,0.002313294,0.00005675409,0.001082119,0.00003371223,0.0003844304,0.00002018813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006036901,"about_ca_system_score_gemma":0.0004965558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000024142,"about_ca_topic_score_gemma":0.00003696966,"domain_scores_codex":[0.9969292,0.0002983598,0.001195337,0.0001947454,0.0007637542,0.0006186009],"domain_scores_gemma":[0.9973603,0.00052877,0.001034477,0.000337701,0.0005863056,0.0001523742],"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":[0.002006242,0.001284235,0.02046867,0.001031925,0.0003625996,0.0004838798,0.003353785,0.004393799,0.2032582,0.4809529,0.007176063,0.2752277],"study_design_scores_gemma":[0.04404363,0.008613241,0.08852566,0.0101685,0.0002842045,0.01025939,0.0004940665,0.7742373,0.01393652,0.03565124,0.01071452,0.003071782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.392857,0.000530955,0.6050461,0.0003466862,0.0006477739,0.0001712753,0.000003447158,0.0000719347,0.0003249031],"genre_scores_gemma":[0.9987463,0.00008829671,0.0008574606,0.0001223361,0.0001556876,0.000006666578,2.957918e-7,0.00001356388,0.000009432842],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7698435,"threshold_uncertainty_score":0.6185009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02238071097375739,"score_gpt":0.2483758151686524,"score_spread":0.225995104194895,"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."}}