{"id":"W7135294007","doi":"","title":"EXPLORING THE USE OF ENGLISH IN ALGERIAN BANKING INSTITUTIONS","year":2023,"lang":"en","type":"dissertation","venue":"Dépôt Institutionnel de lUniversité de Tlemcen","topic":"Linguistics, Language Diversity, and Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sample (material); sort; English language; Variety (cybernetics); Quarter (Canadian coin)","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":[],"consensus_categories":[],"category_scores_codex":[0.0002469028,0.0002391053,0.0002934803,0.0005622263,0.0008267766,0.0002257381,0.0004819902,0.0001340205,0.0003064059],"category_scores_gemma":[0.004387445,0.0002361227,0.0001874078,0.0002269567,0.0002932706,0.000840823,0.0001110503,0.0004536781,0.00005743869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005047852,"about_ca_system_score_gemma":0.0004269698,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02064157,"about_ca_topic_score_gemma":0.09368359,"domain_scores_codex":[0.9986789,0.00008500206,0.0003103655,0.0002799209,0.0002716453,0.0003741718],"domain_scores_gemma":[0.9978089,0.0001200684,0.0002051375,0.0003135526,0.001475228,0.00007705575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001080711,0.0001259434,0.003471398,0.0003523834,0.0001898327,0.0001781983,0.7235052,0.002150406,0.000006286863,0.2608859,0.008448007,0.0005783334],"study_design_scores_gemma":[0.001287819,0.00005005608,0.02430711,0.001355848,0.0006280664,0.000001039256,0.5956545,0.0004917808,0.0001710595,0.00189046,0.3732188,0.0009434585],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9421528,0.00007659251,0.00007792442,0.0000172816,0.02878388,0.0003581535,0.0003556927,0.0002068145,0.02797085],"genre_scores_gemma":[0.981428,0.0004069976,0.0001232599,0.00008917737,0.006461128,0.00001791886,0.0009831793,0.0000369241,0.0104534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3647708,"threshold_uncertainty_score":0.9858801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1727859403433907,"score_gpt":0.2530172005154103,"score_spread":0.08023126017201959,"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."}}