{"id":"W2775661960","doi":"10.1109/ecai.2017.8166387","title":"FPGA systolic array GZIP compressor","year":2017,"lang":"en","type":"article","venue":"","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data compression; Field-programmable gate array; Compression ratio; Throughput; Software; Computer hardware; Embedded system; Operating system; Algorithm; Wireless","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":[0.0001404955,0.0006960257,0.0002829341,0.0008960095,0.0002836602,0.0004993506,0.0008094064,0.0002530239,0.01793814],"category_scores_gemma":[0.0005060481,0.0001738875,0.0001934964,0.0007234721,0.0002229044,0.0005704426,0.0003120762,0.0003347404,0.00319592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004445043,"about_ca_system_score_gemma":0.0003996028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001655784,"about_ca_topic_score_gemma":0.002129049,"domain_scores_codex":[0.9997993,0.00001862917,0.00001265453,0.00002981891,0.0001022082,0.00003741067],"domain_scores_gemma":[0.999824,0.00004542723,0.00001666872,0.00003005097,0.00007289727,0.00001096656],"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":[0.001995752,0.0001542619,0.002086624,0.0005992302,0.00008047115,0.0007161752,0.0002408495,0.01759389,0.1272674,0.007740415,0.06477964,0.7767451],"study_design_scores_gemma":[0.0004554716,0.001301775,0.004279505,0.0001279407,0.0001168897,0.001325286,0.0002377733,0.2759594,0.5293826,0.003480451,0.183198,0.0001349342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1564608,0.001674934,0.6844965,0.0004625273,0.0005488077,0.0005593763,0.002713346,0.1127221,0.04036161],"genre_scores_gemma":[0.6304209,0.0009904957,0.3237199,0.0005690125,0.0001871464,0.000457217,0.004897241,0.002523913,0.03623421],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01793814,"threshold_uncertainty_score":0.06000906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02813280717871854,"score_gpt":0.2791733146519464,"score_spread":0.2510405074732279,"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."}}