{"id":"W7019610485","doi":"","title":"Hardware Architectures for Lossless Compression","year":2022,"lang":"en","type":"other","venue":"eScholarship (California Digital Library)","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Huffman coding; Lossless compression; Lossy compression; Encoder; Data compression; Canonical Huffman code; Throughput; Encoding (memory)","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":[0.000205029,0.0004886416,0.0002342948,0.0007599797,0.0004103792,0.001001418,0.001247985,0.0003783341,0.008895747],"category_scores_gemma":[0.000723618,0.0002366774,0.0002089588,0.0006775954,0.0002760152,0.001383033,0.0005449797,0.0005916982,0.002498952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007630137,"about_ca_system_score_gemma":0.0006588789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001136923,"about_ca_topic_score_gemma":0.00200165,"domain_scores_codex":[0.9997787,0.00001608647,0.00001513815,0.00003239837,0.000127587,0.0000300303],"domain_scores_gemma":[0.9997061,0.00006215756,0.00002421472,0.00006495186,0.0001310414,0.00001152728],"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":[0.0005316227,0.0001932616,0.001486583,0.0007268146,0.00007625939,0.0003698195,0.0002516787,0.04582105,0.1909933,0.08183491,0.03514548,0.6425692],"study_design_scores_gemma":[0.0001754862,0.0008618558,0.002090877,0.0001833338,0.0001094606,0.001035978,0.0001483455,0.5438685,0.2818703,0.03078794,0.1387762,0.00009178598],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09623092,0.005078744,0.814429,0.0012432,0.0005695949,0.0003243792,0.0007165583,0.01388883,0.06751875],"genre_scores_gemma":[0.6256241,0.003340034,0.3363671,0.000812276,0.0001965165,0.0002890173,0.001912335,0.0003641339,0.03109455],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008895747,"threshold_uncertainty_score":0.02975929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01395810215422786,"score_gpt":0.2259091941780104,"score_spread":0.2119510920237825,"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."}}