{"id":"W2907111026","doi":"10.5539/ijel.v9n1p301","title":"Arabizi Among Kuwaiti Youths: Reshaping the Standard Arabic Orthography","year":2018,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Digital Communication and Language","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Code-switching; Style (visual arts); Psychology; Code-mixing; Point (geometry); Arabic; Transliteration; Linguistics; Computer science; Geography; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.000752337,0.0001087807,0.0001367414,0.0002130221,0.0001147992,0.000568713,0.002587509,0.00004245034,0.00003180344],"category_scores_gemma":[0.02525086,0.00007825078,0.0001510273,0.0002506138,0.0002587518,0.0002545579,0.000297977,0.000323113,0.000007829112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003661887,"about_ca_system_score_gemma":0.0001120356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000675307,"about_ca_topic_score_gemma":0.00002095451,"domain_scores_codex":[0.9984072,0.00008031229,0.00050095,0.0001226152,0.0007351487,0.0001537785],"domain_scores_gemma":[0.980828,0.0002682906,0.0004642667,0.0004277978,0.01791991,0.00009170426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009245201,0.0001272775,0.006230318,0.000005589258,0.0002950532,0.00008842082,0.005638055,0.0001034521,0.000009140012,0.9636129,0.01464995,0.009147361],"study_design_scores_gemma":[0.0004000487,0.0001622382,0.00271098,0.00009987322,0.00001403346,0.000007213103,0.0004714548,0.0005191002,0.0002951646,0.005781585,0.9894032,0.0001350726],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02162912,0.0006871678,0.04942878,0.0004627944,0.0164819,0.0001145531,0.00003056114,0.0001181379,0.911047],"genre_scores_gemma":[0.9880221,0.00003617518,0.006681362,0.0008666879,0.004294894,9.299533e-7,0.000002674864,0.000009532994,0.00008568043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9747533,"threshold_uncertainty_score":0.9829599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01738525237197866,"score_gpt":0.2797088910527195,"score_spread":0.2623236386807408,"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."}}