{"id":"W2044074952","doi":"10.7202/003628ar","title":"Translating Arabic Into English: Basic Considerations in Word Order","year":2002,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Language, Linguistics, Cultural Analysis","field":"Arts and Humanities","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Word order; Linguistics; Arabic; Sentence; Computer science; Word (group theory); Meaning (existential); Word formation; Natural language processing; Artificial intelligence; Psychology; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001094663,0.0006513676,0.0004910593,0.001205476,0.002070232,0.005816394,0.0006789277,0.00124857,0.007013611],"category_scores_gemma":[0.006607178,0.0005364456,0.0004119392,0.001054338,0.003651317,0.009242784,0.001486335,0.001858281,0.002329162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001082385,"about_ca_system_score_gemma":0.0009708424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002150432,"about_ca_topic_score_gemma":0.002023636,"domain_scores_codex":[0.9986764,0.0005779412,0.0001719766,0.0001696806,0.0002780309,0.0001260151],"domain_scores_gemma":[0.9971476,0.001614424,0.0001909637,0.0002769817,0.000691944,0.00007797094],"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":[0.0002378612,0.00004690058,0.0008486547,0.0003153658,0.00001177871,0.001056196,0.01391974,0.00132216,0.01023477,0.8988162,0.002386173,0.07080431],"study_design_scores_gemma":[0.00006203889,0.0002453538,0.00339437,0.0003086618,0.00004308203,0.001892136,0.01131664,0.007419661,0.01746824,0.810013,0.1477457,0.00009104935],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2016005,0.005734302,0.3255206,0.02121975,0.001409617,0.0003340569,0.0005353387,0.0009201301,0.4427257],"genre_scores_gemma":[0.8718808,0.003145318,0.1031578,0.001117035,0.0007144277,0.000183576,0.0003429742,0.0006846201,0.01877345],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007013611,"threshold_uncertainty_score":0.02346289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06623261834551386,"score_gpt":0.2470114395356299,"score_spread":0.180778821190116,"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."}}