{"id":"W2468174761","doi":"10.1038/ncomms11712","title":"Numerical approach for unstructured quantum key distribution","year":2016,"lang":"en","type":"article","venue":"Nature Communications","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":161,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Sandia National Laboratories; Natural Sciences and Engineering Research Council of Canada; Office of Naval Research; Industry Canada","keywords":"Quantum key distribution; Key (lock); Computer science; Protocol (science); Symmetry (geometry); Quantum; Theoretical computer science; Statistical physics; Mathematics; Quantum mechanics; Physics; Computer security","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":[0.0002043909,0.0001098752,0.0001129839,0.00007466388,0.0003516926,0.00008929412,0.002288077,0.0001942797,0.000004821676],"category_scores_gemma":[0.0001531845,0.00007372265,0.0001214497,0.0005252048,0.0001034691,0.0005166017,0.0002172821,0.0002623443,0.00001636837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004212021,"about_ca_system_score_gemma":0.00004762213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001753414,"about_ca_topic_score_gemma":0.000001587421,"domain_scores_codex":[0.999151,0.00007177481,0.0002330914,0.0001750395,0.0001714722,0.0001976291],"domain_scores_gemma":[0.9974841,0.000228889,0.0001184976,0.001864372,0.0002217695,0.00008240472],"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":[0.000004042246,0.00004396822,0.0001477326,0.000003904945,0.00001071004,2.158975e-8,0.00008841984,0.000003271282,0.0001515961,0.9765186,0.01120359,0.0118242],"study_design_scores_gemma":[0.001024771,0.00007468173,0.008380851,0.00002004374,0.00001507978,0.00001855885,0.00005159821,0.1883943,0.0009558797,0.04206623,0.7585979,0.0004000899],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000170255,0.000439148,0.9871699,0.00920149,0.0001825015,0.0002574576,0.00007004142,0.0002414298,0.002267787],"genre_scores_gemma":[0.8527771,0.00007446793,0.146327,0.0004712859,0.00002501806,0.00009664268,0.000204213,0.000005248913,0.00001906243],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9344523,"threshold_uncertainty_score":0.4251854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01744987094183213,"score_gpt":0.275417200309102,"score_spread":0.2579673293672698,"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."}}