{"id":"W4389027105","doi":"10.1007/978-3-031-48618-0_11","title":"Lower Bounds on Assumptions Behind Registration-Based Encryption","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Encryption; Obfuscation; Black box; Theoretical computer science; Cryptography; Public-key cryptography; Key (lock); Computer security; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001017684,0.000503179,0.0003749628,0.001323967,0.0005149699,0.001047894,0.002770887,0.0003962473,0.00004035278],"category_scores_gemma":[0.000128999,0.0004899708,0.0002205545,0.0008647431,0.0007079504,0.0007157458,0.0004841983,0.0009495823,0.0002310318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002231273,"about_ca_system_score_gemma":0.000642295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003605806,"about_ca_topic_score_gemma":0.0004332705,"domain_scores_codex":[0.995797,0.00004189128,0.0005153564,0.001699347,0.001348253,0.0005981686],"domain_scores_gemma":[0.9965332,0.0007161085,0.0002973592,0.002045732,0.0002160433,0.0001916076],"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":[0.00002753332,0.0001998787,0.0001014301,0.00006743964,0.00002335424,0.0002266496,0.0006288689,0.04651081,0.0001533733,0.6768349,0.0006756373,0.2745502],"study_design_scores_gemma":[0.0004265018,0.0005513585,0.0009352001,0.0005703022,0.00001474376,0.00001872827,1.524864e-7,0.3876302,0.0004300653,0.601218,0.007142054,0.001062643],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00009655468,0.00005469241,0.990625,0.00142141,0.003045029,0.0003363608,0.00004449202,0.0004051892,0.003971326],"genre_scores_gemma":[0.3498399,0.0001251431,0.6398734,0.006635153,0.002147837,0.00007460477,0.0003091196,0.0001393588,0.0008555134],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3507516,"threshold_uncertainty_score":0.9999891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02521222336775681,"score_gpt":0.2616102003061695,"score_spread":0.2363979769384127,"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."}}