{"id":"W4414307111","doi":"10.22541/au.175778474.46841590/v1","title":"Fixing ill-formed UTF-16 strings with SIMD instructions","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Unicode; JavaScript; Character encoding; Code (set theory); Encoding (memory); Software; Character (mathematics)","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":[0.001158561,0.001165455,0.0006025531,0.0007793735,0.0006928728,0.001118657,0.001598119,0.000911282,0.01051387],"category_scores_gemma":[0.00821796,0.0004971552,0.0006068049,0.0008771206,0.001042234,0.001932562,0.002097923,0.001148409,0.004920117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007280296,"about_ca_system_score_gemma":0.0009945196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001029778,"about_ca_topic_score_gemma":0.001165729,"domain_scores_codex":[0.9984687,0.0002039648,0.0001803103,0.0002305254,0.0006910272,0.0002253747],"domain_scores_gemma":[0.9964856,0.0009247691,0.0003653578,0.001335767,0.000777364,0.0001111565],"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":[0.002509409,0.0003486517,0.01211579,0.001100058,0.0001352332,0.002882248,0.002507229,0.03606452,0.2874618,0.07642648,0.04815922,0.5302894],"study_design_scores_gemma":[0.0001644489,0.0004656177,0.001294037,0.0002184703,0.0000743951,0.001225521,0.00031823,0.1097926,0.6749764,0.0254871,0.185808,0.000175056],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1526138,0.0006630294,0.7676182,0.0005139657,0.0009158523,0.000506943,0.001054052,0.05472863,0.02138553],"genre_scores_gemma":[0.5074126,0.0003223783,0.459729,0.0006489666,0.0001098433,0.0004883162,0.002194525,0.01232701,0.01676743],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01051387,"threshold_uncertainty_score":0.0351724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00512929392300252,"score_gpt":0.2274616322221219,"score_spread":0.2223323382991194,"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."}}