{"id":"W2950159141","doi":"","title":"On Continual Leakage of Discrete Log Representations.","year":2012,"lang":"en","type":"preprint","venue":"IACR Cryptology ePrint Archive","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Bounded function; Subspace topology; Discrete mathematics; Binary logarithm; Combinatorics; Mathematics; Element (criminal law); Representation (politics); Encryption; Affine transformation; Computer science; Pure mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005356107,0.0004008457,0.0006731842,0.0005332747,0.0001672765,0.00007676875,0.00159979,0.0002413625,0.0001982614],"category_scores_gemma":[0.0002378668,0.0003915357,0.0004059124,0.0002488914,0.0005184418,0.0001655837,0.002963799,0.0009951284,0.00008120535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003761458,"about_ca_system_score_gemma":0.0001592918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002083914,"about_ca_topic_score_gemma":0.0001678702,"domain_scores_codex":[0.9967025,0.0005231079,0.000843155,0.0009376457,0.0003952884,0.0005982923],"domain_scores_gemma":[0.9959757,0.0012139,0.0006650569,0.001820367,0.0001445336,0.0001804601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003552476,0.0001905181,0.00619549,0.00005518343,0.0001578372,0.00001732535,0.005742717,0.0002037637,0.0002881372,0.9821997,0.001328163,0.003585621],"study_design_scores_gemma":[0.0005763705,0.0001073263,0.04087253,0.00006375906,0.00004923888,0.00002361338,0.0002474605,0.001506557,0.001123992,0.9540344,0.0009925623,0.0004021453],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1097192,0.0001001667,0.8796155,0.001265042,0.001127607,0.0006412998,0.0001999659,0.0001286748,0.007202537],"genre_scores_gemma":[0.6897318,0.00006431769,0.3095302,0.0002318924,0.0001021313,0.0001482759,0.0001677336,0.00002061553,0.000002989143],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5800126,"threshold_uncertainty_score":0.9998537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02421039201129341,"score_gpt":0.3199200594640487,"score_spread":0.2957096674527552,"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."}}