{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001545365,0.0004708985,0.0006665997,0.0007028597,0.0007470485,0.0009710903,0.001372781,0.001229075,0.006970942],"category_scores_gemma":[0.007396234,0.0002995327,0.0004964778,0.0005217616,0.001411046,0.001311261,0.001513814,0.00141279,0.0008271199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009294169,"about_ca_system_score_gemma":0.001433557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002352398,"about_ca_topic_score_gemma":0.001754435,"domain_scores_codex":[0.9994096,0.0002069056,0.00002848257,0.00007171834,0.0002437264,0.0000395473],"domain_scores_gemma":[0.9979463,0.001179527,0.0001953202,0.0002920613,0.0003165332,0.00007020758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006452711,0.00006960602,0.0006052277,0.0001143487,0.00001950211,0.0001107974,0.0001011118,0.7031077,0.004630087,0.2781493,0.0009786552,0.01204916],"study_design_scores_gemma":[0.000009886088,0.000007313728,0.0000280435,0.000005785856,0.000001769156,0.00000939078,0.000006440409,0.9741843,0.0003327902,0.02447935,0.0009306644,0.000004359038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0112963,0.00009074827,0.9765851,0.0003848083,0.00007218143,0.000104358,0.0001080964,0.0002085061,0.0111499],"genre_scores_gemma":[0.2899206,0.0001780789,0.7021206,0.0002818068,0.00005719217,0.0006193034,0.0002159419,0.0002124027,0.006394002],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006970942,"threshold_uncertainty_score":0.02332014,"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."}}