{"id":"W3003226690","doi":"10.1007/978-3-030-39746-3_27","title":"3-Party Adversarial Cryptography","year":2020,"lang":"en","type":"book-chapter","venue":"Lecture notes on data engineering and communications technologies","topic":"Wireless Signal Modulation Classification","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Adversarial system; Computer security; Computer science; Cryptography; Political science; Internet privacy; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001531341,0.0009203732,0.0007614517,0.0006757025,0.0006120717,0.002077806,0.001274401,0.001720363,0.01694188],"category_scores_gemma":[0.003759514,0.0004089637,0.0009437941,0.0009750921,0.001393665,0.002958429,0.003886154,0.003073263,0.007700364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006171045,"about_ca_system_score_gemma":0.0004312622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006754791,"about_ca_topic_score_gemma":0.0000841584,"domain_scores_codex":[0.9985719,0.0005142803,0.00005849879,0.0001470623,0.0005095366,0.000198881],"domain_scores_gemma":[0.9978845,0.0009595059,0.0001409493,0.0008419974,0.0001182581,0.0000548744],"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":[0.0002588145,0.00009135193,0.0002690447,0.000147333,0.00005945556,0.0001696787,0.00009941211,0.06598756,0.007834582,0.7809842,0.01383816,0.1302603],"study_design_scores_gemma":[0.00003800237,0.0001098698,0.0002441779,0.0001072366,0.00002898959,0.0006415075,0.00002355996,0.3316047,0.01007103,0.6243916,0.03269796,0.00004126622],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0105035,0.0009183715,0.9134022,0.0008231264,0.0002860795,0.000104756,0.0001941005,0.0006540954,0.07311375],"genre_scores_gemma":[0.7005044,0.002337611,0.1748562,0.001349256,0.0005907071,0.0003637013,0.0006955678,0.0003990837,0.1189035],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01694188,"threshold_uncertainty_score":0.05667621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05120672846219683,"score_gpt":0.244815974358724,"score_spread":0.1936092458965272,"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."}}