{"id":"W2949698939","doi":"10.48550/arxiv.math/0411098","title":"Simple Permutations Mix Even Better","year":2004,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Simple (philosophy); Computer science; Combinatorics; Mathematics; Philosophy","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":[0.001083433,0.0006470383,0.0006298856,0.0008302068,0.001723887,0.001299377,0.000695696,0.001086658,0.009268828],"category_scores_gemma":[0.005123802,0.0005428792,0.000958606,0.0006747594,0.001637833,0.003752354,0.001863023,0.001490858,0.002218635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00059246,"about_ca_system_score_gemma":0.0005051881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004461661,"about_ca_topic_score_gemma":0.000856167,"domain_scores_codex":[0.9988502,0.0003590379,0.00004776255,0.0003430132,0.000238355,0.000161594],"domain_scores_gemma":[0.9976588,0.0006472601,0.0002684456,0.0008902081,0.0002264725,0.0003088011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001341071,0.0004617281,0.01046552,0.0002906167,0.0002995581,0.001279166,0.001313003,0.03911663,0.08303494,0.7655751,0.006662594,0.09016016],"study_design_scores_gemma":[0.0002481047,0.0009586195,0.005062561,0.00009010556,0.0001928859,0.001929112,0.0008491235,0.1530444,0.04255524,0.7447019,0.05022989,0.000138127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7663736,0.0004836623,0.1910198,0.001355372,0.0004068683,0.0002386451,0.0002854175,0.001101729,0.03873487],"genre_scores_gemma":[0.9392788,0.0001966237,0.04747992,0.0004678014,0.0001126131,0.0001542923,0.0002627641,0.0003599983,0.01168715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009268828,"threshold_uncertainty_score":0.03100729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0240248397506421,"score_gpt":0.2662473660892155,"score_spread":0.2422225263385734,"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."}}