{"id":"W2944781270","doi":"10.5430/wjel.v9n2p19","title":"The Journalistic Discourse Translating Strategies: From English into Arab","year":2019,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Victoria","keywords":"Ideology; Linguistics; Arabic; Politics; Focus (optics); Translation (biology); Source text; Social media; Discourse analysis; Political science; Sociology; Computer science; Law; Philosophy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00366021,0.0004373776,0.000165017,0.001692478,0.002619828,0.006191353,0.0003719928,0.0006319354,0.003809387],"category_scores_gemma":[0.009039028,0.000175487,0.0001629614,0.001450209,0.003267123,0.004176888,0.001710953,0.0009254188,0.0009189011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001365971,"about_ca_system_score_gemma":0.001829791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001239363,"about_ca_topic_score_gemma":0.00115334,"domain_scores_codex":[0.9964754,0.002691514,0.0001454599,0.0001657748,0.0003550154,0.0001666886],"domain_scores_gemma":[0.9950773,0.003302803,0.0003906832,0.0002838333,0.000768616,0.0001766645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003576356,0.0002701429,0.009834397,0.0008001695,0.00002312574,0.001452978,0.6569114,0.0001529539,0.007867487,0.100246,0.002753238,0.2193305],"study_design_scores_gemma":[0.00006275256,0.0005451296,0.02539913,0.000868331,0.0000846773,0.002839596,0.7214901,0.00178206,0.01769377,0.02125649,0.2079145,0.00006353436],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7001123,0.004089672,0.01167206,0.004907056,0.0002490804,0.0002219385,0.00008469936,0.00009012676,0.2785732],"genre_scores_gemma":[0.9893294,0.001218939,0.003438426,0.000298843,0.00005451717,0.00007191054,0.00003393271,0.00003258637,0.005521629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006191353,"threshold_uncertainty_score":0.01935732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01646756932475129,"score_gpt":0.2743400105268831,"score_spread":0.2578724412021318,"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."}}