{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001587072,0.001112978,0.0009423938,0.001740762,0.0007490295,0.003691013,0.001706963,0.002303184,0.00334143],"category_scores_gemma":[0.005641416,0.0005005462,0.0007665941,0.001779295,0.003841626,0.004758751,0.002312638,0.003944908,0.002073656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008486417,"about_ca_system_score_gemma":0.0009861693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007155488,"about_ca_topic_score_gemma":0.0005278438,"domain_scores_codex":[0.9982816,0.0005114782,0.0001395531,0.0002906485,0.0006822972,0.00009442763],"domain_scores_gemma":[0.9974102,0.001271127,0.0001046239,0.0006889122,0.0004587513,0.00006643448],"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":[0.00006161024,0.00002103723,0.000139932,0.0002016992,0.00002160892,0.0001542059,0.0002449741,0.008437063,0.007547656,0.8536762,0.003275743,0.1262182],"study_design_scores_gemma":[0.00002482136,0.0001345086,0.000169838,0.0001941291,0.00002852532,0.001087071,0.0001653985,0.1152499,0.02641255,0.7860621,0.07039768,0.00007356941],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007068911,0.0008834749,0.9924707,0.0007342427,0.0002876622,0.00002735438,0.00004416831,0.0001214314,0.004724019],"genre_scores_gemma":[0.05133787,0.004363413,0.933744,0.0009133885,0.001390023,0.000206894,0.0001657779,0.0002273346,0.007651254],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003691013,"threshold_uncertainty_score":0.0111782,"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."}}