{"id":"W2132296708","doi":"10.1007/3-540-46885-4_36","title":"Cryptanalysis of Short RSA Secret Exponents","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Cryptography and Residue Arithmetic","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Exponent; Cryptanalysis; Mathematics; Fraction (chemistry); Discrete mathematics; Cryptography; Combinatorics; Algorithm","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007961004,0.00104993,0.0007064824,0.001187599,0.0005979178,0.001760399,0.0006943892,0.0007297852,0.009115347],"category_scores_gemma":[0.003084126,0.0004033139,0.0006641558,0.001191083,0.001232115,0.003070844,0.001475283,0.001793044,0.003659349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006362831,"about_ca_system_score_gemma":0.0004864965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008261335,"about_ca_topic_score_gemma":0.0001418244,"domain_scores_codex":[0.9990578,0.0001627979,0.00005279818,0.00008335443,0.0005272118,0.0001159891],"domain_scores_gemma":[0.9988379,0.0005394691,0.00009421805,0.0003697958,0.0001136302,0.00004502844],"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":[0.001719247,0.000139797,0.001537394,0.0005777169,0.0001563772,0.000991776,0.0005894466,0.01573127,0.07888186,0.4919047,0.01513844,0.3926319],"study_design_scores_gemma":[0.0002005193,0.0005004868,0.00161852,0.0003106956,0.0001347611,0.004017656,0.0001941906,0.08329196,0.2064541,0.615332,0.08784179,0.0001034541],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2489694,0.01288323,0.610585,0.004141742,0.002514856,0.0002616023,0.0004950024,0.002455143,0.1176941],"genre_scores_gemma":[0.7941937,0.004573264,0.1225655,0.0004125528,0.0009445059,0.00008620355,0.0004888661,0.0005106386,0.07622472],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009115347,"threshold_uncertainty_score":0.03049386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02164167414111817,"score_gpt":0.2578582416466574,"score_spread":0.2362165675055393,"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."}}