{"id":"W3206410302","doi":"10.1002/spe.3036","title":"Transcoding Billions of Unicode Characters per Second with SIMD Instructions","year":2021,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transcoding; Computer science; SIMD; Unicode; Software; Operating system; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004467357,0.001150548,0.0005910908,0.001889116,0.0005193888,0.001290478,0.0009181473,0.0006383367,0.01550839],"category_scores_gemma":[0.005052502,0.0003265257,0.0004390748,0.002203017,0.0005864288,0.001428423,0.001551524,0.0009252033,0.008850073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003903599,"about_ca_system_score_gemma":0.0004285398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001378197,"about_ca_topic_score_gemma":0.001466447,"domain_scores_codex":[0.9994459,0.00003869084,0.00006407099,0.00009391985,0.0003168837,0.00004048066],"domain_scores_gemma":[0.9984486,0.0003513962,0.0000663854,0.000459536,0.0006285223,0.00004542825],"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":[0.0007184663,0.0001221882,0.00156471,0.0004952754,0.0001136221,0.0006699404,0.0006919937,0.01095305,0.1105017,0.02268759,0.06434719,0.7871343],"study_design_scores_gemma":[0.0001732682,0.0003668238,0.002683293,0.0002783475,0.0001349089,0.002439321,0.0005967514,0.236732,0.4203177,0.04088785,0.2952362,0.0001535707],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07744593,0.002144075,0.8441907,0.001116737,0.002729099,0.000410252,0.003677389,0.03235177,0.03593406],"genre_scores_gemma":[0.2403846,0.001589428,0.7093149,0.0007417463,0.0005499378,0.0005813619,0.007749781,0.004117799,0.0349704],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01550839,"threshold_uncertainty_score":0.05188072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04550440571683195,"score_gpt":0.160681029227551,"score_spread":0.1151766235107191,"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."}}