{"id":"W1429456869","doi":"10.18260/p.24326","title":"Integrating Emerging Cryptographic Engineering Research and Security Education","year":2015,"lang":"en","type":"article","venue":"","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Computer science; Security engineering; Cryptography; Computer security; Cryptographic primitive; Cryptographic protocol; Engineering management; Information security; Software security assurance; Engineering; Security service","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002943025,0.0005637498,0.0002427598,0.001213403,0.0005707086,0.002359422,0.0008633618,0.00120069,0.008612901],"category_scores_gemma":[0.005402952,0.0002266711,0.0002268201,0.0006600384,0.001677219,0.004451865,0.001475892,0.002053208,0.00181057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001215345,"about_ca_system_score_gemma":0.003057872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005158554,"about_ca_topic_score_gemma":0.001171868,"domain_scores_codex":[0.9991531,0.0002532245,0.000043904,0.00009491336,0.0003843493,0.0000703954],"domain_scores_gemma":[0.9963199,0.001633008,0.0002049502,0.0003704689,0.001124607,0.0003469352],"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":[0.00006293741,0.0005059472,0.002170819,0.0007145185,0.00001870363,0.0001144983,0.0006700065,0.004627778,0.01064865,0.402201,0.01632936,0.5619358],"study_design_scores_gemma":[0.00005204591,0.0005654847,0.002303815,0.00152626,0.00003991545,0.000965521,0.001713834,0.02824869,0.03310149,0.5498896,0.381537,0.00005636791],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04402218,0.05481337,0.5901989,0.08530731,0.002424107,0.0002121287,0.0001071985,0.0009826323,0.2219322],"genre_scores_gemma":[0.5057862,0.08676092,0.3339437,0.007779539,0.002029308,0.0001680747,0.0001875068,0.0002584657,0.06308631],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008612901,"threshold_uncertainty_score":0.028813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06162785716840246,"score_gpt":0.3661514160592586,"score_spread":0.3045235588908561,"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."}}