{"id":"W2560846039","doi":"10.1007/978-3-031-53368-6","title":"Selected Areas in Cryptography – SAC 2023","year":2024,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Cryptographic Implementations and Security","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional; Indian Statistical Institute; Syddansk Universitet; Universitetet i Bergen; University of Waterloo; Università degli Studi di Salerno; Waseda University; KU Leuven; Aarhus Universitet; University of South Florida; Academia Sinica; Institut Polytechnique de Paris; University of Washington; TU Graz, Internationale Beziehungen und Mobilitätsprogramme; Royal Holloway, University of London; Radboud Universiteit","keywords":"Computer science; Cryptography; Computer security","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001079487,0.0005666457,0.000560009,0.00383326,0.000208563,0.001115572,0.003319676,0.0003193665,0.00004096486],"category_scores_gemma":[0.00007962788,0.0005385291,0.0001950674,0.01092175,0.0005337298,0.0006067225,0.001254566,0.001317185,0.00006303985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004143668,"about_ca_system_score_gemma":0.001700177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001413576,"about_ca_topic_score_gemma":0.001869716,"domain_scores_codex":[0.9951609,0.00009358068,0.0007178828,0.001909025,0.001106432,0.00101215],"domain_scores_gemma":[0.9976349,0.000465743,0.0001734935,0.001271066,0.0002712816,0.0001834978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001577965,0.0003334211,0.003217273,0.0003980966,0.00008386032,0.0008800971,0.007513616,0.008517092,0.0002314978,0.07654424,0.009202769,0.8930622],"study_design_scores_gemma":[0.0006016553,0.0002611602,0.004381429,0.0008342991,0.00001808021,0.0001002548,0.000001224077,0.3393217,0.0002800673,0.6391062,0.01370541,0.001388565],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004946178,0.001221174,0.992358,0.0009947611,0.002288693,0.000541741,0.00001898007,0.0002565206,0.001825544],"genre_scores_gemma":[0.2285097,0.0003769752,0.7651799,0.003423053,0.001407736,0.0001819858,0.0001436942,0.0001366941,0.0006403029],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8916737,"threshold_uncertainty_score":0.9999214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247479556962246,"score_gpt":0.2659052419868197,"score_spread":0.2534304464171973,"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."}}