{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001421532,0.00009396849,0.00009616843,0.00004142273,0.0000944352,0.0003976589,0.0002536045,0.00002783297,0.00001026408],"category_scores_gemma":[0.0005946918,0.00009808482,0.00001420691,0.0003665382,0.0000336257,0.00529577,0.0001855669,0.0001083985,0.00002166849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002166625,"about_ca_system_score_gemma":0.00003786759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000995803,"about_ca_topic_score_gemma":0.000005499087,"domain_scores_codex":[0.9989848,0.00006681809,0.0001977183,0.0003465126,0.0002200718,0.0001841458],"domain_scores_gemma":[0.9994462,0.000140576,0.0001009677,0.0001538571,0.000064012,0.00009439177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009312512,0.0001358596,0.01974976,0.00006807372,0.00001611161,0.00004152816,0.1600723,0.00002353379,0.009227283,0.01454316,0.000183004,0.7958463],"study_design_scores_gemma":[0.01407641,0.004928673,0.1116532,0.0008228084,0.000122333,0.00124273,0.3978964,0.05077393,0.2097425,0.01967092,0.1826363,0.006433892],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4576045,0.00007973061,0.5381039,0.002921761,0.0001431168,0.0001441341,0.000001552762,0.0001385566,0.0008626601],"genre_scores_gemma":[0.9047755,0.00003865043,0.09310538,0.001989638,0.0000438382,0.00002293945,0.000003429897,0.000005636419,0.00001501085],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7894124,"threshold_uncertainty_score":0.3999783,"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."}}