{"id":"W2951443613","doi":"","title":"Succinct Randomized Encodings and their Applications.","year":2014,"lang":"en","type":"preprint","venue":"IACR Cryptology ePrint Archive","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Functional encryption; Plaintext; Obfuscation; Bounded function; Computer science; Cryptography; Theoretical computer science; Encoding (memory); ENCODE; Encryption; Secure multi-party computation; Simple (philosophy); Complexity class; Function (biology); Computation; Time complexity; Mathematics; Algorithm; Ciphertext","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"],"consensus_categories":[],"category_scores_codex":[0.001377654,0.0005591271,0.001345058,0.0004142554,0.0002587194,0.0002377362,0.002125498,0.0003722563,0.00002813119],"category_scores_gemma":[0.0001911714,0.0004576933,0.000471951,0.0001767159,0.001040567,0.0001477052,0.00563656,0.001211182,0.00006950658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002241391,"about_ca_system_score_gemma":0.0001233129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007613753,"about_ca_topic_score_gemma":0.00004541498,"domain_scores_codex":[0.9962731,0.0008444082,0.0006769591,0.001508058,0.0001800173,0.0005174463],"domain_scores_gemma":[0.995031,0.002136019,0.0004903692,0.001999814,0.00009910719,0.0002437089],"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":[0.000595646,0.00006210883,0.0002899257,0.00009893748,0.0001549802,0.000005111565,0.002119134,0.00001736187,0.00008303718,0.9825819,0.0002884275,0.01370348],"study_design_scores_gemma":[0.008908764,0.00002276967,0.0004581111,0.00004747312,0.00003715359,0.0000586324,0.00003212701,0.0114468,0.0002249278,0.9699261,0.008382077,0.0004550591],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007099144,0.0006985256,0.9840398,0.001591785,0.0004472666,0.00154042,0.00009149638,0.0003649424,0.004126596],"genre_scores_gemma":[0.2085508,0.0008335632,0.7882886,0.0006755061,0.0002422973,0.001215897,0.0001654409,0.00002750039,4.099672e-7],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2014517,"threshold_uncertainty_score":0.9997875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007846166356152841,"score_gpt":0.2319302358027464,"score_spread":0.2240840694465936,"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."}}