{"id":"W4289223923","doi":"10.1038/s41598-022-15843-x","title":"A new quantum-safe multivariate polynomial public key digital signature algorithm","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Quantropi (Canada)","funders":"","keywords":"Key (lock); Multivariate statistics; Computer science; Signature (topology); Polynomial; Public-key cryptography; Algorithm; Digital signature; Digital Signature Algorithm; Mathematics; Computer security; Machine learning","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":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00147703,0.0002312212,0.0002298297,0.000465437,0.00138718,0.003314224,0.001409851,0.00007164857,0.00041045],"category_scores_gemma":[0.0001467281,0.0002263261,0.0002408855,0.002428009,0.0001446193,0.002250346,0.001851614,0.0004731008,0.00003803901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008296508,"about_ca_system_score_gemma":0.000739386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000148937,"about_ca_topic_score_gemma":0.0000121567,"domain_scores_codex":[0.9959088,0.00009531674,0.0005575179,0.001503865,0.0012931,0.0006413749],"domain_scores_gemma":[0.9969966,0.0000594356,0.0003676113,0.002035561,0.0001262296,0.0004145483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001614339,0.0005737768,0.001057772,0.00001147328,0.0000732486,0.002752905,0.00293207,0.00009159732,0.003067471,0.04504362,0.6789593,0.2654207],"study_design_scores_gemma":[0.000293226,0.00007332311,0.0004249599,0.000005377497,0.000006654278,0.0008647722,0.00009848569,0.01356672,0.0004455354,0.05750576,0.9262862,0.0004290353],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01590596,0.0006478208,0.9359256,0.001980229,0.04110186,0.0006353421,0.0001830023,0.0007375926,0.002882605],"genre_scores_gemma":[0.9194873,0.000001347796,0.07787511,0.0002177807,0.0003605045,0.00004893442,0.0005075087,0.00002617206,0.001475311],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9035814,"threshold_uncertainty_score":0.9999129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01322068111349563,"score_gpt":0.2273426681343498,"score_spread":0.2141219870208542,"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."}}