{"id":"W2137465039","doi":"10.1016/j.ffa.2007.03.002","title":"Polynomial approximation of bilinear Diffie–Hellman maps","year":2007,"lang":"en","type":"article","venue":"Finite Fields and Their Applications","topic":"Cryptography and Residue Arithmetic","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mathematics; Bilinear interpolation; Diagonal; Degree (music); Polynomial; Bilinear map; Interpolation (computer graphics); Discrete mathematics; Set (abstract data type); Matrix polynomial; Combinatorics; Image (mathematics); Mathematical analysis; Geometry; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0001796266,0.0000722176,0.00009072372,0.0001118991,0.0001062657,0.00002622618,0.0002341351,0.00007361503,0.000005216461],"category_scores_gemma":[0.000007280558,0.00005621513,0.00004960431,0.0003358701,0.00005809325,0.00007365008,0.00007376375,0.00008782122,0.000004699138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002556674,"about_ca_system_score_gemma":0.00001159253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001798816,"about_ca_topic_score_gemma":0.00001226365,"domain_scores_codex":[0.9994588,0.00001082605,0.0001809528,0.0001691789,0.00005972055,0.0001204988],"domain_scores_gemma":[0.999316,0.0002072285,0.00006588308,0.0003223867,0.00003748136,0.00005101023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002163162,0.0004299079,0.001529003,0.0001078914,0.00005939422,0.000001269176,0.004685854,0.00006979475,0.005899766,0.3549545,0.0008744522,0.6313666],"study_design_scores_gemma":[0.003689472,0.001035615,0.06288254,0.0001569393,0.00009051855,0.00007808211,0.002299936,0.1167426,0.1613726,0.2872711,0.362413,0.001967566],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01699331,0.0002224009,0.9793292,0.0004051574,0.00003853367,0.0001939051,0.00001126701,0.00004580968,0.002760359],"genre_scores_gemma":[0.9837407,0.0000471906,0.01597481,0.00009417698,0.00006069976,0.00001970636,0.0000110635,0.000003560831,0.00004802876],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9667475,"threshold_uncertainty_score":0.2292386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008432818511571577,"score_gpt":0.2184335882776669,"score_spread":0.2100007697660953,"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."}}