{"id":"W2109526741","doi":"10.1109/pacrim.2011.6032965","title":"Design and implementation of an Inflate acceleration core","year":2011,"lang":"en","type":"article","venue":"","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Graphics; Latency (audio); Acceleration; Interface (matter); User interface; Core (optical fiber); Transfer (computing); Human–computer interaction; Operating system; Telecommunications","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":[0.0005711984,0.0005547075,0.0003685074,0.0007036542,0.0004447853,0.001011445,0.001829752,0.0005573279,0.003904464],"category_scores_gemma":[0.0009594799,0.0002818005,0.0002175088,0.0003153449,0.0002672447,0.0006368206,0.0005631571,0.0007789815,0.001977661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006369135,"about_ca_system_score_gemma":0.001165333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001224498,"about_ca_topic_score_gemma":0.001176871,"domain_scores_codex":[0.999567,0.00003615912,0.00003518185,0.0000700051,0.0002157417,0.00007587916],"domain_scores_gemma":[0.9990807,0.00007569035,0.0000767976,0.00009625984,0.0005917084,0.00007886376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009781746,0.0004045962,0.004839926,0.0006456535,0.0001002192,0.0005691702,0.0005406372,0.02373612,0.4424665,0.02467058,0.01643495,0.4846135],"study_design_scores_gemma":[0.0002248175,0.002515036,0.004316688,0.0001135386,0.0001542511,0.001081218,0.0001288413,0.2666562,0.5606937,0.00268466,0.1613111,0.0001198364],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.05612599,0.0005854897,0.9130415,0.0004593913,0.0002788686,0.001180153,0.0002211534,0.008528396,0.01957904],"genre_scores_gemma":[0.3723023,0.0004168187,0.6017755,0.0005016759,0.00009648946,0.0006409811,0.0006105561,0.0005364755,0.02311926],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.003904464,"threshold_uncertainty_score":0.0130617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09537701142439758,"score_gpt":0.3171275522963506,"score_spread":0.2217505408719531,"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."}}