{"id":"W4393900481","doi":"10.20944/preprints202404.0123.v1","title":"Secure Key Exchange in Tropical Cryptography: Leveraging Efficiency with Advanced Block Matrix Protocols","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Key exchange; Key (lock); Cryptography; Computer science; Block (permutation group theory); Computer security; Public-key cryptography; Mathematics; Encryption","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"],"consensus_categories":[],"category_scores_codex":[0.0003319149,0.0004997936,0.0004685502,0.000151198,0.0000725671,0.00004615769,0.0006835628,0.0005816999,0.00006759666],"category_scores_gemma":[0.00009849774,0.0003904937,0.0002541193,0.0002586315,0.0001298273,0.000002895941,0.003149006,0.001143487,0.00008056364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004807255,"about_ca_system_score_gemma":0.0001504513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000234703,"about_ca_topic_score_gemma":0.0000234343,"domain_scores_codex":[0.9969143,0.0001673318,0.0004852061,0.001596608,0.0002617938,0.0005747621],"domain_scores_gemma":[0.9986972,0.00002039869,0.0001837101,0.0008672821,0.00009777961,0.000133591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006991295,0.000507154,0.7298085,0.001518771,0.0002048935,0.0001609427,0.0005447808,0.004197999,0.2598218,0.0002778285,0.00005831821,0.002199929],"study_design_scores_gemma":[0.004179096,0.001732545,0.5593019,0.004465909,0.0001726087,0.0001343237,0.0003140354,0.001436683,0.3571234,0.00577294,0.06160966,0.003756958],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898208,0.0006988855,0.0003718508,0.0002008884,0.0001827844,0.006141488,0.00001703483,0.0001118116,0.002454431],"genre_scores_gemma":[0.9944388,0.00007395233,0.001230123,0.0001069105,0.0003348576,0.003478265,0.00006572475,0.00004966603,0.0002217627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1705066,"threshold_uncertainty_score":0.9998547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05643504599004433,"score_gpt":0.3490004419611035,"score_spread":0.2925653959710591,"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."}}