{"id":"W314096538","doi":"10.1109/ccc.2010.14","title":"Simple Affine Extractors Using Dimension Expansion","year":2010,"lang":"en","type":"article","venue":"","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Omega; Affine transformation; Dimension (graph theory); Combinatorics; Constant (computer programming); Mathematics; Affine combination; Affine space; Field (mathematics); Simple (philosophy); Type (biology); Discrete mathematics; Physics; Pure mathematics; Quantum mechanics; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0002243159,0.0000868742,0.00007490502,0.00009592102,0.0001473163,0.0000800572,0.0003559015,0.00005118639,0.0002454809],"category_scores_gemma":[0.00002035322,0.00006973917,0.00005901753,0.0003026779,0.00002768874,0.0003770741,0.0001717947,0.0001412123,0.00002535924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004172253,"about_ca_system_score_gemma":0.00001668689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002434163,"about_ca_topic_score_gemma":0.00001979208,"domain_scores_codex":[0.999328,0.00002453869,0.0001079141,0.0002301593,0.0001337844,0.0001756716],"domain_scores_gemma":[0.9993268,0.00006751882,0.00003344744,0.0004640486,0.00003342067,0.00007477804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000004216958,0.00005093208,0.001239238,0.00000192444,0.000003065628,0.000005264426,0.0001401772,0.00001978174,0.6939734,0.2727941,0.0002355939,0.03153235],"study_design_scores_gemma":[0.0009882246,0.0002904765,0.02146954,0.00003187659,0.0000230214,0.0001202646,0.0001086781,0.1984692,0.4855615,0.244772,0.04699074,0.001174525],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7194922,0.000005983734,0.2781323,0.00006302911,0.0004415579,0.00003748913,1.635643e-7,0.000186694,0.001640533],"genre_scores_gemma":[0.9496465,8.585766e-7,0.05007159,0.0001517643,0.00006139148,8.835185e-7,6.752798e-7,0.000004919838,0.00006139515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2301543,"threshold_uncertainty_score":0.2843881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01661239371440204,"score_gpt":0.2560692697915057,"score_spread":0.2394568760771036,"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."}}