{"id":"W2171959510","doi":"10.1145/2213977.2214051","title":"Characterizing pseudoentropy and simplifying pseudorandom generator constructions","year":2012,"lang":"en","type":"article","venue":"","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Environment and Climate Change Canada; Microsoft Research; National Science Foundation","keywords":"Pseudorandom number generator; Random variable; Entropy (arrow of time); Discrete mathematics; Mathematics; Probabilistic logic; Polynomial; Combinatorics; Algorithm; Statistics; Physics; Mathematical analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009063127,0.0009814117,0.001640345,0.001755689,0.001347229,0.003809482,0.003230364,0.002323059,0.002990646],"category_scores_gemma":[0.07313815,0.0009071243,0.001382803,0.001361807,0.006530087,0.01009141,0.009132206,0.004292806,0.0005261019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002607128,"about_ca_system_score_gemma":0.001440963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003239475,"about_ca_topic_score_gemma":0.0003206759,"domain_scores_codex":[0.9880282,0.004765145,0.0005259564,0.001438517,0.003985079,0.001257184],"domain_scores_gemma":[0.9018757,0.07225382,0.004839253,0.01696073,0.002208875,0.001861648],"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":[0.0006083145,0.0001754008,0.005724338,0.0001745899,0.0001096596,0.0004696083,0.0005092089,0.1734349,0.007718653,0.7935889,0.001407086,0.0160794],"study_design_scores_gemma":[0.00007651489,0.0001614589,0.001160671,0.00003276209,0.00003695638,0.0004401356,0.00006968083,0.4134158,0.006009473,0.5773578,0.001187897,0.00005079492],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2888987,0.0003849723,0.6967914,0.002037536,0.00005477774,0.0001905996,0.0003668643,0.0005260933,0.01074904],"genre_scores_gemma":[0.9670949,0.0001801145,0.03009247,0.0002451911,0.000101693,0.0001861264,0.0002889792,0.0001231681,0.001687281],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009063127,"threshold_uncertainty_score":0.04793096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01509360197328167,"score_gpt":0.2371142638527784,"score_spread":0.2220206618794968,"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."}}