{"id":"W4393474141","doi":"10.5281/zenodo.1314446","title":"Supporting Material To \"Sifa: Exploiting Ineffective Fault Inductions On Symmetric Cryptography\"","year":2018,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Infineon Technologies (Canada)","funders":"European Commission","keywords":"Cryptography; Computer science; Fault (geology); Computer security; Symmetric-key algorithm; Chemistry; Public-key cryptography; Biology; Encryption; Paleontology","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":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001196386,0.0003294658,0.0002953747,0.002141712,0.003500054,0.002462836,0.002499333,0.0001555989,0.004583918],"category_scores_gemma":[0.001049857,0.0003529017,0.0001314904,0.003625792,0.0001288814,0.0004436671,0.002704888,0.0005305801,0.003409949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001801873,"about_ca_system_score_gemma":0.00001064365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001217225,"about_ca_topic_score_gemma":0.000003114972,"domain_scores_codex":[0.9965659,0.0005256138,0.000537879,0.0009577376,0.0007133063,0.0006995398],"domain_scores_gemma":[0.9973274,0.00007439205,0.0003361049,0.001111666,0.0008472869,0.000303108],"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":[0.00002267707,0.0001588628,3.250312e-7,0.00005181147,0.00005762701,0.00001268172,0.0004686805,0.000005642246,0.0001689536,0.003823519,0.9778653,0.01736389],"study_design_scores_gemma":[0.0003078038,0.0007981368,0.00007423506,0.00006636075,0.00002200082,0.00005981513,0.0001995869,0.00005713767,0.0002371473,0.0004062525,0.9974085,0.0003630168],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003787684,0.00001014093,0.0267674,0.0004681735,0.001167162,0.001340739,0.9626395,0.001032743,0.002786443],"genre_scores_gemma":[0.008571291,0.00004457123,0.002421829,0.0004198069,0.000792397,8.794458e-7,0.9870579,0.0006730284,0.00001831804],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02441837,"threshold_uncertainty_score":0.9998923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03917896588978829,"score_gpt":0.3088921152756074,"score_spread":0.2697131493858191,"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."}}