{"id":"W4256534299","doi":"10.48009/2_iis_2016_193-200","title":"DETERMINING RSA PRIVATE KEY USING MICROSOFT EXCEL SOLVER","year":2016,"lang":"en","type":"article","venue":"Issues in Information Systems","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kwantlen Polytechnic University","funders":"","keywords":"Microsoft excel; Computer science; Key (lock); Solver; Operating system; Programming language; Software engineering","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":[0.0004973421,0.0001666037,0.0002551904,0.0003278638,0.00006633136,0.0001739308,0.0001138178,0.0002033346,0.00002285089],"category_scores_gemma":[0.00006311615,0.0001268552,0.00004859087,0.0002375334,0.00001725644,0.001642216,0.0000277882,0.0001015443,0.0004140016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002392072,"about_ca_system_score_gemma":0.00001426239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001030668,"about_ca_topic_score_gemma":0.000003398512,"domain_scores_codex":[0.9985366,0.00004398199,0.0008104587,0.00009351848,0.0002466518,0.0002688027],"domain_scores_gemma":[0.9994366,0.00005941449,0.0001444597,0.0002332521,0.00007158052,0.00005469609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002117183,0.0000624333,0.05001331,0.003000641,0.000310259,0.00005534749,0.03880601,0.2475275,0.3862925,0.00468016,0.01629493,0.2527452],"study_design_scores_gemma":[0.002714948,0.00008104133,0.001454733,0.002507834,0.00001360193,0.0001581713,0.001359663,0.1092322,0.0339353,0.00003779268,0.8476192,0.0008855166],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9185532,0.0002360212,0.07005605,0.00001076161,0.004637474,0.0005339825,0.00001891851,0.0004525958,0.005501037],"genre_scores_gemma":[0.9991804,0.0000216484,0.0002883152,0.00001139503,0.0003261023,0.00002918327,0.000003245117,0.00001972191,0.0001199262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8313243,"threshold_uncertainty_score":0.5321292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02063459915932496,"score_gpt":0.2499033809863692,"score_spread":0.2292687818270442,"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."}}