{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001145312,0.00008127868,0.00007597292,0.0004842122,0.0001671976,0.0002922404,0.000281139,0.00003100177,0.000009478579],"category_scores_gemma":[0.0001063669,0.00007531419,0.00002120065,0.001244928,0.00004008587,0.0005160407,0.0002197727,0.000205591,0.000003770275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002621194,"about_ca_system_score_gemma":0.0001305712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004147357,"about_ca_topic_score_gemma":0.0001308728,"domain_scores_codex":[0.9989593,0.00005321171,0.0001663893,0.0002577218,0.0003077269,0.0002556741],"domain_scores_gemma":[0.9991348,0.00008401315,0.0000247014,0.000265111,0.0003230859,0.0001683078],"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":[8.270324e-7,0.00005328752,0.003921875,0.000009999239,0.000005138129,7.037454e-7,0.004505732,0.000003076796,0.0001757031,0.976235,0.001140336,0.01394833],"study_design_scores_gemma":[0.00101254,0.0004896764,0.01041584,0.0001138704,0.000008367243,0.00008556154,0.02338422,0.2660363,0.001303472,0.6403382,0.05601283,0.0007990809],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6222398,0.0004362479,0.369019,0.001482166,0.0004077894,0.0002307718,7.351066e-7,0.0002192716,0.005964177],"genre_scores_gemma":[0.9304695,0.00002026078,0.06935052,0.00005789375,0.00005262644,0.00002614192,0.000002413036,0.000004662396,0.00001598709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3358968,"threshold_uncertainty_score":0.3071223,"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."}}