{"id":"W2001344605","doi":"10.1109/ccece.2013.6567789","title":"Gigabyte-scale alignment of biological sequences: A case study of IO bandwidth reconfiguration for FPGA acceleration","year":2013,"lang":"en","type":"article","venue":"","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Field-programmable gate array; Computer science; Bandwidth (computing); Control reconfiguration; Throughput; Speedup; Embedded system; Computer architecture; Computer hardware; Parallel computing; Operating system; Computer network","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002109496,0.00008610234,0.0001671072,0.00004742888,0.00007318817,0.00006010207,0.0002847962,0.0000485842,0.00008415373],"category_scores_gemma":[0.00001583804,0.00005611044,0.00003500826,0.0001161226,0.00002337807,0.0005845334,0.0001003599,0.00003006619,0.000003539258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001505297,"about_ca_system_score_gemma":0.00002634472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001349834,"about_ca_topic_score_gemma":0.00009175944,"domain_scores_codex":[0.99905,0.0000591159,0.0003618338,0.0002661597,0.0001497902,0.0001130501],"domain_scores_gemma":[0.9991864,0.000095371,0.0001621707,0.0003398286,0.000171426,0.00004478038],"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":[0.00008758819,0.005339383,0.006985448,0.0001401062,0.0001441537,0.00007687846,0.01751799,0.001399499,0.1986076,0.01011544,0.009213306,0.7503726],"study_design_scores_gemma":[0.003727423,0.009009687,0.00779312,0.00007665459,0.00003183041,0.0002632446,0.01216704,0.7155478,0.242871,0.007220466,0.0006584033,0.0006333727],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.560047,0.000008797663,0.4389954,0.00006986329,0.00007766794,0.0006360969,0.000004737505,0.00002197254,0.0001384619],"genre_scores_gemma":[0.9477329,0.00000584708,0.05201878,0.00003470545,0.00002383686,0.000119911,0.00001032515,0.000002341981,0.00005137546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7497392,"threshold_uncertainty_score":0.2288117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06762979098733131,"score_gpt":0.2950620992223945,"score_spread":0.2274323082350632,"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."}}