{"id":"W2473315843","doi":"10.1038/npjqi.2016.25","title":"Practical challenges in quantum key distribution","year":2016,"lang":"en","type":"article","venue":"npj Quantum Information","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":698,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Oak Ridge National Laboratory; Office of Naval Research; National Institute of Information and Communications Technology; Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche; Battelle; Iran Telecommunication Research Center; Laboratory Directed Research and Development; U.S. Department of Energy","keywords":"Quantum key distribution; Key (lock); Key distribution; Quantum cryptography; Distribution (mathematics); Cryptography","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":[0.0109819,0.0005728399,0.001536104,0.001032844,0.002940333,0.005281013,0.003056455,0.006776167,0.01360808],"category_scores_gemma":[0.01877541,0.0007358463,0.0007173379,0.001773673,0.007543848,0.01448015,0.005840337,0.007557846,0.002586605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003257368,"about_ca_system_score_gemma":0.002441013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000895521,"about_ca_topic_score_gemma":0.0004645154,"domain_scores_codex":[0.9933576,0.002496149,0.0002949687,0.0006746621,0.002530281,0.0006463348],"domain_scores_gemma":[0.9844469,0.01097508,0.0006497442,0.001877112,0.001639031,0.0004121242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006933181,0.00004809275,0.0001852152,0.0003439875,0.00001359801,0.0001871698,0.0001880121,0.005475418,0.001239336,0.9486754,0.0096147,0.03395974],"study_design_scores_gemma":[0.00004462026,0.00006187512,0.0001046161,0.000177925,0.000007945745,0.0004068825,0.0002523649,0.01871569,0.001445484,0.9328088,0.04593428,0.00003956535],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04471967,0.08543023,0.4524333,0.2304443,0.005082559,0.0003934581,0.0004930563,0.0005462747,0.1804573],"genre_scores_gemma":[0.8330769,0.04097076,0.08842881,0.009553731,0.005173229,0.0006277132,0.0002576673,0.0002028745,0.02170835],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01360808,"threshold_uncertainty_score":0.05807853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04054451804030076,"score_gpt":0.2754341716840439,"score_spread":0.2348896536437432,"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."}}