{"id":"W3091953753","doi":"10.1002/spe.2920","title":"Validating UTF‐8 in less than one instruction per byte","year":2020,"lang":"en","type":"article","venue":"Software Practice and Experience","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ; Université du Québec à Montréal","funders":"National Research Council Canada","keywords":"Byte; Open source; Work (physics); Lazy evaluation","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":[0.004201851,0.002061709,0.0009448928,0.002071382,0.00122583,0.002770673,0.002963247,0.001701928,0.04419577],"category_scores_gemma":[0.02934835,0.001006553,0.0008994738,0.001197736,0.001455801,0.004147016,0.002340168,0.001749123,0.03045012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001368258,"about_ca_system_score_gemma":0.002347136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00296512,"about_ca_topic_score_gemma":0.002393772,"domain_scores_codex":[0.9940288,0.0009089767,0.0007254012,0.0008998055,0.002774612,0.0006623057],"domain_scores_gemma":[0.9794465,0.007449494,0.001261625,0.00632798,0.005225253,0.000289174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003760629,0.0003721972,0.01185862,0.001313313,0.0001882333,0.0008720843,0.001345123,0.006347082,0.1420336,0.01593733,0.1350455,0.6809263],"study_design_scores_gemma":[0.0003031873,0.0004975133,0.004039049,0.0004835372,0.0001117821,0.001045632,0.0002788935,0.04958464,0.7135363,0.009070492,0.2207676,0.0002813832],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04881068,0.0007739745,0.5086979,0.000531032,0.0009617528,0.0003060634,0.002476583,0.426203,0.01123903],"genre_scores_gemma":[0.4513229,0.0004352934,0.4269479,0.001574517,0.0003050676,0.0007994187,0.01092999,0.07570694,0.03197799],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04419577,"threshold_uncertainty_score":0.1478496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.072257944177949,"score_gpt":0.3111429900828187,"score_spread":0.2388850459048697,"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."}}