{"id":"W4416037532","doi":"10.18653/v1/2025.emnlp-demos.74","title":"BAREC Demo: Resources and Tools for Sentence-level Arabic Readability Assessment","year":2025,"lang":"","type":"article","venue":"","topic":"Text Readability and Simplification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; New York University Abu Dhabi","keywords":"Readability; Arabic; Legibility; Feature (linguistics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001685543,0.002469005,0.0009398781,0.005525841,0.0005954002,0.001542701,0.001530234,0.0008817599,0.04046067],"category_scores_gemma":[0.009851601,0.0006454595,0.0007052002,0.001824955,0.0003780212,0.003131168,0.002796962,0.001148009,0.02632884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006461238,"about_ca_system_score_gemma":0.001102697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005607005,"about_ca_topic_score_gemma":0.008315653,"domain_scores_codex":[0.9987664,0.0002751104,0.0001522934,0.0003483376,0.0003781503,0.00007976357],"domain_scores_gemma":[0.9947035,0.001730363,0.0003969925,0.0009705677,0.001754202,0.000444318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001253323,0.0005533689,0.00786465,0.002052344,0.0001585909,0.0005812445,0.001882627,0.003631521,0.02404123,0.003184412,0.6088206,0.345976],"study_design_scores_gemma":[0.0005506683,0.0005822488,0.05661717,0.0007897323,0.0001917191,0.001489341,0.002351545,0.116047,0.09619155,0.01610746,0.7083347,0.000746906],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.03567269,0.0006848772,0.1606873,0.0004632717,0.0003627707,0.001788016,0.2833038,0.4858335,0.03120381],"genre_scores_gemma":[0.1237918,0.0004244477,0.3142295,0.0005194846,0.0001902598,0.00562096,0.5033028,0.03030072,0.02161996],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.04046067,"threshold_uncertainty_score":0.1353545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07263354252581768,"score_gpt":0.331101482548212,"score_spread":0.2584679400223943,"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."}}