{"id":"W1967737635","doi":"10.1587/transfun.e95.a.567","title":"Oblivious Transfer Based on the McEliece Assumptions","year":2012,"lang":"en","type":"article","venue":"IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidade Federal de Ouro Preto; University of California, San Diego; Université de Montréal; Universiteit van Amsterdam; Universidade de Brasília","keywords":"McEliece cryptosystem; Generalization; Cryptosystem; Decoding methods; Oblivious transfer; Binary number; Reduction (mathematics); Mathematics; Matrix (chemical analysis); Transfer (computing); Computer science; Arithmetic; Theoretical computer science; Discrete mathematics; Algorithm; Cryptography; Parallel computing","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001072337,0.0001718439,0.000150373,0.0002663966,0.001488746,0.0002081467,0.002100876,0.00004670835,0.00003176921],"category_scores_gemma":[0.000002883922,0.0001289184,0.0001373798,0.0009547875,0.0006245453,0.0004729893,0.00004221055,0.0003128809,0.0000104798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003463574,"about_ca_system_score_gemma":0.00008178945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001321546,"about_ca_topic_score_gemma":0.00002373671,"domain_scores_codex":[0.9984335,0.0003195821,0.0002657201,0.0002669814,0.0003256442,0.0003885599],"domain_scores_gemma":[0.9973826,0.001101761,0.00006666614,0.001302589,0.0000505689,0.00009576624],"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":[0.0000117568,0.001111403,0.0001925917,0.000007327149,0.00004417671,7.902471e-8,0.0007922369,0.001756803,0.0003996422,0.9050095,0.0000564462,0.09061801],"study_design_scores_gemma":[0.001282359,0.005408505,0.004225684,0.0002732933,0.000141872,0.00004498481,0.0005663501,0.9223138,0.01234123,0.02287739,0.02935395,0.00117056],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02833394,0.001206247,0.9621323,0.006207138,0.0001572733,0.0002470863,0.00001025682,0.00009832148,0.001607469],"genre_scores_gemma":[0.9776132,0.0005678865,0.02045964,0.001265008,0.00001341904,0.00005985493,0.000001383065,0.000006295067,0.0000133398],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9492792,"threshold_uncertainty_score":0.9998112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03781384633451661,"score_gpt":0.2701927737982126,"score_spread":0.232378927463696,"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."}}