{"id":"W4390117639","doi":"10.29137/umagd.1294273","title":"İstatiksel Kodlama Yöntemlerinin Türkçe ve İngilizce Metinlerde Sıkıştırma Başarımı Karşılaştırma Örneği","year":2023,"lang":"tr","type":"article","venue":"Uluslararası mühendislik araştırma ve geliştirme dergisi","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Physics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.004573106,0.004155679,0.003867299,0.003226388,0.003401254,0.004037548,0.01012642,0.001928672,0.002402119],"category_scores_gemma":[0.0009429392,0.004308691,0.002143898,0.00930716,0.001275916,0.006795548,0.008397485,0.003798765,0.02196746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009150443,"about_ca_system_score_gemma":0.001524837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001150064,"about_ca_topic_score_gemma":0.0002486013,"domain_scores_codex":[0.9731642,0.002026475,0.004957087,0.007096139,0.005511323,0.007244798],"domain_scores_gemma":[0.9834844,0.002261521,0.002498576,0.007393523,0.001426799,0.002935157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001582242,0.004014479,0.007279087,0.002082009,0.003307175,0.01010711,0.03145446,0.008660046,0.008815556,0.02492383,0.7114042,0.1863698],"study_design_scores_gemma":[0.009627563,0.001658466,0.04893032,0.00192211,0.0009351092,0.001210862,0.004230631,0.3976768,0.004343187,0.005143562,0.5163106,0.008010747],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6915212,0.02393425,0.1523387,0.016283,0.04091628,0.01060819,0.009798911,0.01313536,0.04146408],"genre_scores_gemma":[0.8769349,0.01168746,0.05470596,0.006708776,0.008006346,0.001673504,0.006704337,0.001836894,0.03174175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3890168,"threshold_uncertainty_score":0.9996224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02629490577461008,"score_gpt":0.2755927664724364,"score_spread":0.2492978606978263,"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."}}