{"id":"W3163547676","doi":"10.18280/isi.260201","title":"ARALD: Arabic Annotation Using Linked Data","year":2021,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Linked data; Arabic; Semantic Web; Annotation; Natural language processing; Knowledge base; World Wide Web; Information retrieval; Artificial intelligence; Domain (mathematical analysis); Linguistics","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":[0.002074674,0.001777663,0.0006039643,0.008092731,0.002512948,0.004301228,0.001313049,0.001060223,0.03927557],"category_scores_gemma":[0.009967746,0.0005641419,0.0008230865,0.004801844,0.0008099442,0.004877838,0.005312981,0.001546819,0.03293896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00146677,"about_ca_system_score_gemma":0.002023266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00662277,"about_ca_topic_score_gemma":0.004830849,"domain_scores_codex":[0.9974682,0.000684893,0.0003020132,0.00052545,0.000914062,0.0001053241],"domain_scores_gemma":[0.9954196,0.0009364763,0.0003638798,0.001036387,0.002054282,0.0001894238],"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":[0.0009841091,0.0002274082,0.002937657,0.002301808,0.0001389387,0.002280161,0.004172062,0.005599248,0.02606949,0.04939677,0.2604741,0.6454183],"study_design_scores_gemma":[0.00005534535,0.00004649195,0.001719523,0.0004274508,0.00005323521,0.0004865203,0.001122793,0.02213392,0.0278044,0.02118669,0.924834,0.0001295852],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01950952,0.00158822,0.6646624,0.002366396,0.001881441,0.001554058,0.06964648,0.1077092,0.1310823],"genre_scores_gemma":[0.1046969,0.001593993,0.7044364,0.0009256872,0.0003937586,0.001537975,0.1165735,0.01018034,0.05966149],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03927557,"threshold_uncertainty_score":0.1313899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03849275984637792,"score_gpt":0.2909523724449043,"score_spread":0.2524596125985264,"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."}}