{"id":"W4409655409","doi":"10.1075/dt.24013.alb","title":"Evolution of Arabic video game localization","year":2025,"lang":"en","type":"article","venue":"Digital Translation","topic":"Digital Games and Media","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"United Arab Emirates University","keywords":"Video game; Arabic; Computer science; Artificial intelligence; Multimedia; Linguistics; Philosophy","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":[0.001185297,0.000298227,0.0001497164,0.001973264,0.001833724,0.003287705,0.0004519559,0.0004563709,0.005821226],"category_scores_gemma":[0.004719081,0.0001449703,0.000113051,0.002067819,0.002542037,0.002291726,0.001638778,0.0007892877,0.0009924907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003669698,"about_ca_system_score_gemma":0.001492211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0154543,"about_ca_topic_score_gemma":0.01710653,"domain_scores_codex":[0.9991248,0.0002941824,0.00004015365,0.000153172,0.0001858278,0.0002018439],"domain_scores_gemma":[0.9975283,0.0006889149,0.0005230393,0.0001093798,0.0009013054,0.0002492554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005581212,0.0001797937,0.1680361,0.0005764665,0.00003158834,0.004868087,0.3414992,0.002038284,0.01275716,0.07269628,0.009852457,0.3869064],"study_design_scores_gemma":[0.00001838258,0.0002977355,0.2754227,0.0005667303,0.00002673637,0.001994807,0.4584009,0.004017001,0.006799535,0.00455648,0.2477632,0.0001356766],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9557598,0.0006512051,0.001822776,0.001103603,0.00005771391,0.00002813803,0.0001184343,0.00004925143,0.04040902],"genre_scores_gemma":[0.996577,0.0001741047,0.0003084354,0.00005102356,0.00000782356,0.000007339314,0.00002179726,0.00001182173,0.00284068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0154543,"threshold_uncertainty_score":0.0307287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01635138618356827,"score_gpt":0.2816224844462884,"score_spread":0.2652710982627201,"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."}}