{"id":"W2001765156","doi":"10.1038/ncomms4418","title":"An experimental implementation of oblivious transfer in the noisy storage model","year":2014,"lang":"en","type":"article","venue":"Nature Communications","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":72,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Ministry of Education, India; National Research Foundation Singapore; National Research Foundation; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Oblivious transfer; Computer science; Cryptography; Key exchange; Theoretical computer science; Quantum cryptography; Cryptographic protocol; Cryptographic primitive; Protocol (science); Quantum; Algorithm; Computer security; Public-key cryptography; Quantum information; Encryption; Physics; Quantum mechanics","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":[0.000412168,0.00006274391,0.00006723932,0.0001327031,0.000127513,0.00005549905,0.002175615,0.00006507999,0.00000500832],"category_scores_gemma":[0.000004909133,0.00004909861,0.00004322695,0.0004180199,0.00005209564,0.0005555515,0.0000680438,0.0002811413,0.000002523234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001304005,"about_ca_system_score_gemma":0.00002729042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002477796,"about_ca_topic_score_gemma":0.0003156378,"domain_scores_codex":[0.9992533,0.0001815009,0.000209251,0.00008121789,0.0001846104,0.00009017619],"domain_scores_gemma":[0.9983334,0.00007118148,0.00004180489,0.001475075,0.00005487413,0.00002366858],"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":[0.000001296322,0.0001572996,0.0004500051,0.000002155944,0.000002709417,3.102802e-8,0.01382543,0.0003232105,0.002204471,0.9798813,0.0002574165,0.002894694],"study_design_scores_gemma":[0.0007643236,0.000152425,0.01797273,0.000008514306,0.000006484493,0.000004001288,0.004585871,0.9615815,0.00648424,0.003877405,0.004370669,0.0001918512],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.480161,0.0006304682,0.5100246,0.003523552,0.00008109847,0.0003978327,0.00001279827,0.0000905407,0.005078187],"genre_scores_gemma":[0.9839355,0.00002556064,0.0148127,0.001148596,0.000004835993,0.00004118782,0.00002785788,0.000002924227,7.815127e-7],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9760039,"threshold_uncertainty_score":0.4042871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01969049633170623,"score_gpt":0.3329576632414165,"score_spread":0.3132671669097102,"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."}}