{"id":"W1494042884","doi":"10.1007/3-540-45961-8_13","title":"An Interactive Data Exchange Protocol Based on Discrete Exponentiation","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Protocol (science); Key exchange; Exponentiation; Data exchange; Cryptographic protocol; Oakley protocol; Public-key cryptography; Computer network; Otway–Rees protocol; Authentication protocol; Cryptography; Wide Mouth Frog protocol; Authentication (law); Universal composability; Computer security; Encryption; Challenge-Handshake Authentication Protocol; Database; Mathematics; Medicine","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.001725941,0.0005551348,0.0003991033,0.001370716,0.0002861228,0.0008897512,0.007331171,0.0003006617,0.0000586316],"category_scores_gemma":[0.00008242672,0.000494767,0.00009837155,0.0007848754,0.000456745,0.002698601,0.001950264,0.000946368,0.00002935013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001881014,"about_ca_system_score_gemma":0.0003337981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003976365,"about_ca_topic_score_gemma":0.0002432963,"domain_scores_codex":[0.9950286,0.00008100213,0.0005013447,0.002454723,0.001312548,0.0006217512],"domain_scores_gemma":[0.9939295,0.0004747813,0.0003964086,0.004768062,0.0001924588,0.0002387873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001143198,0.000224844,0.00006992777,0.0001003138,0.00001210507,0.0001263662,0.0009167311,0.005163797,0.00007382543,0.02026575,0.00009208752,0.97284],"study_design_scores_gemma":[0.0005116455,0.0005476034,0.0002555197,0.0004249841,0.000006392433,0.00001136263,2.245503e-7,0.9511248,0.0006923458,0.03795918,0.007771584,0.0006943296],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000004454875,0.00001479728,0.9838207,0.000206268,0.0008637548,0.01248845,0.00009844753,0.0002006069,0.002302481],"genre_scores_gemma":[0.0355493,0.000005526059,0.9562012,0.003974882,0.001215103,0.002448145,0.0005182988,0.0000700889,0.00001747987],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9721456,"threshold_uncertainty_score":0.9997504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04424939035978744,"score_gpt":0.3295069657627377,"score_spread":0.2852575754029503,"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."}}