{"id":"W2041118403","doi":"10.3390/e13010053","title":"A Unique Perspective on Data Coding and Decoding","year":2010,"lang":"en","type":"article","venue":"Entropy","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data compression; Decoding methods; Source code; Redundancy (engineering); Coding (social sciences); MATLAB; Algorithm; Entropy encoding; Data mining; Theoretical computer science; Distributed source coding; Compression ratio; Variable-length code; Mathematics; Programming language; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001480476,0.00006585933,0.00006423341,0.00003773392,0.0001273929,0.0001518164,0.0007121128,0.00002862862,0.00002075529],"category_scores_gemma":[0.00008311511,0.00005314954,0.000008501235,0.00006309721,0.00002455739,0.0003691031,0.0007655594,0.0001843023,0.00002018916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001463157,"about_ca_system_score_gemma":0.00002023933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005936189,"about_ca_topic_score_gemma":0.00001050675,"domain_scores_codex":[0.9993491,0.00002004198,0.00006028756,0.0003372793,0.000107422,0.0001259059],"domain_scores_gemma":[0.9990446,0.00007859975,0.00002988919,0.0007561758,0.00002499242,0.00006571944],"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":[0.000004078285,0.00002364898,0.0002134661,0.000001554088,0.000004677806,0.00001404507,0.0003104513,0.000001822609,0.006519329,0.974433,0.003633142,0.01484078],"study_design_scores_gemma":[0.0007272332,0.0001272938,0.004161372,0.0000546944,0.000007072225,0.00004551535,0.0001915604,0.9115857,0.006868634,0.02418145,0.05169318,0.0003562581],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04193754,0.00007266572,0.9496668,0.002086344,0.0008037873,0.0001267761,0.00002395688,0.0001615003,0.005120655],"genre_scores_gemma":[0.8391446,0.00002666975,0.1602205,0.0002825366,0.0001986474,0.00000243652,0.000009368426,0.000006141834,0.0001090845],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9502516,"threshold_uncertainty_score":0.2167375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02458253490733224,"score_gpt":0.3011794203089321,"score_spread":0.2765968854015999,"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."}}