{"id":"W4253257261","doi":"10.1007/978-3-030-62124-7_7","title":"Lossless Compression Algorithms","year":2021,"lang":"en","type":"book-chapter","venue":"Texts in computer science","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Lossless compression; Lossy compression; Huffman coding; Arithmetic coding; Entropy encoding; Adaptive coding; Data compression; Computer science; Tunstall coding; Algorithm; Context-adaptive binary arithmetic coding; Golomb coding; Theoretical computer science; Image compression; Artificial intelligence; Image processing; Image (mathematics)","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":[0.0003861057,0.001421517,0.0008598325,0.001939288,0.000580351,0.00201327,0.001401256,0.001137597,0.04665441],"category_scores_gemma":[0.00152795,0.0004944534,0.0004442588,0.002719396,0.001021588,0.002693004,0.001209713,0.002291747,0.03508554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005654085,"about_ca_system_score_gemma":0.0004579312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002993722,"about_ca_topic_score_gemma":0.0004185905,"domain_scores_codex":[0.9994136,0.00004533948,0.00002492355,0.00008855224,0.000394196,0.0000334203],"domain_scores_gemma":[0.9994808,0.0001694992,0.00002070073,0.0001924386,0.0001208397,0.00001570798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005317619,0.00005870881,0.00006075768,0.0003397877,0.00002099875,0.00005997234,0.00005663594,0.005722655,0.00907182,0.1099676,0.09638313,0.7782047],"study_design_scores_gemma":[0.00003774724,0.0001201788,0.0004905376,0.000321685,0.00004026493,0.001360413,0.00004717668,0.06509269,0.04191454,0.2075841,0.6829293,0.0000614544],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.002708282,0.02249623,0.7478645,0.00126607,0.002018075,0.0001961773,0.001103752,0.00504034,0.2173065],"genre_scores_gemma":[0.04827068,0.02826075,0.3978657,0.001751402,0.002351517,0.0003708741,0.004505218,0.002217028,0.5144069],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04665441,"threshold_uncertainty_score":0.1560745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02523300491218078,"score_gpt":0.2686614545637472,"score_spread":0.2434284496515665,"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."}}