{"id":"W2979933668","doi":"10.1109/ccece.2019.8861851","title":"Design and Evaluation of an FPGA-based Hardware Accelerator for Deflate Data Decompression","year":2019,"lang":"en","type":"article","venue":"","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Field-programmable gate array; Virtex; Computer hardware; Data compression; Benchmark (surveying); Embedded system; Uncompressed video; Video processing; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001250167,0.0000978627,0.0001378567,0.00005984175,0.00007118388,0.00008315033,0.0009935123,0.00004994492,0.00005515639],"category_scores_gemma":[0.0000319992,0.00007343048,0.00001448218,0.00009255764,0.00001213015,0.001500769,0.0004540744,0.00003808452,0.000006069773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001172878,"about_ca_system_score_gemma":0.0001418179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001677022,"about_ca_topic_score_gemma":0.000002357352,"domain_scores_codex":[0.9986877,0.0001426492,0.0001830364,0.0004823927,0.0003696511,0.0001345962],"domain_scores_gemma":[0.9981132,0.0001591596,0.0001020134,0.001320357,0.000233504,0.00007176159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001336698,0.0002322865,0.0004713671,0.00009948238,0.00002263857,8.051665e-7,0.0001451071,0.01583115,0.03150319,0.001167252,0.003753982,0.9466391],"study_design_scores_gemma":[0.001092686,0.000145293,0.001046194,0.00003573814,0.00001292478,8.994768e-7,0.000006461019,0.9644746,0.03160594,0.0007915957,0.0006830706,0.000104565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0870505,0.00008703086,0.9118011,0.00005547863,0.0001537751,0.0007160554,0.00002712403,0.00004857607,0.00006033621],"genre_scores_gemma":[0.4013538,0.000002647938,0.5983528,0.00007752229,0.00001946846,0.00001782302,0.0001489494,0.000006788514,0.0000202004],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9486435,"threshold_uncertainty_score":0.2994408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1375030714909039,"score_gpt":0.3615872089889931,"score_spread":0.2240841374980892,"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."}}