{"id":"W2152220072","doi":"10.1109/cwit.2011.5872127","title":"Credit-based variable-to-variable length coding: Key concepts and preliminary redundancy analysis","year":2011,"lang":"en","type":"article","venue":"","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Variable-length code; Redundancy (engineering); Bounded function; Coding (social sciences); Computer science; Tunstall coding; Shannon–Fano coding; Source code; Algorithm; Binary number; Theoretical computer science; Alphabet; Discrete mathematics; Mathematics; Arithmetic; Statistics; Decoding methods; Programming language; Operating system; Linguistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001362098,0.0009668675,0.0006193116,0.001826586,0.0006881665,0.001391202,0.001838776,0.001111976,0.003040606],"category_scores_gemma":[0.006698699,0.0004107532,0.0005587169,0.002361382,0.002066414,0.00254682,0.001613222,0.002108904,0.0007696904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001691104,"about_ca_system_score_gemma":0.001688138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002938451,"about_ca_topic_score_gemma":0.001676382,"domain_scores_codex":[0.9986077,0.0003377149,0.00007431609,0.0001974112,0.0006264118,0.0001565681],"domain_scores_gemma":[0.9967881,0.001446934,0.0004160288,0.000508852,0.0007418927,0.00009812668],"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":[0.0002562892,0.00006708525,0.0006993925,0.0003326535,0.00002827716,0.0002871478,0.0003161821,0.09094878,0.02180338,0.7241786,0.006250917,0.1548314],"study_design_scores_gemma":[0.0000406435,0.0002214847,0.0004633834,0.0001547886,0.0000278008,0.0007009507,0.00007492199,0.7484902,0.01781044,0.21332,0.0185764,0.0001189269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01025758,0.001906178,0.9792403,0.0005422386,0.0001581384,0.00009904014,0.0001735816,0.0002238647,0.007399179],"genre_scores_gemma":[0.4704453,0.004602241,0.5128588,0.0006390719,0.0007048433,0.0005415135,0.0006866366,0.0001733498,0.009348309],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003040606,"threshold_uncertainty_score":0.01226985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0260539145018094,"score_gpt":0.2554649111489464,"score_spread":0.229410996647137,"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."}}