{"id":"W3125846137","doi":"10.18280/ria.340606","title":"AQG: Arabic Question Generator","year":2020,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Topic Modeling","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Generator (circuit theory); Natural language processing; Artificial intelligence; Arabic; Sentence; Grammar; Set (abstract data type); Process (computing); Semantics (computer science); Lexicon; Programming language; 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":[0.00232216,0.001934243,0.0007624007,0.002461412,0.0004567223,0.001224439,0.001758548,0.001205877,0.04564723],"category_scores_gemma":[0.009654725,0.0005610334,0.0008441157,0.000978909,0.0005068886,0.002315494,0.002204799,0.00122944,0.02999766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005886494,"about_ca_system_score_gemma":0.0007152406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00142139,"about_ca_topic_score_gemma":0.0006005719,"domain_scores_codex":[0.9986736,0.00047347,0.0001454525,0.0003581864,0.0002812012,0.00006818119],"domain_scores_gemma":[0.9961268,0.001738728,0.0001986885,0.0006651705,0.001076984,0.0001935725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009365493,0.0002677138,0.002846359,0.001841571,0.00008100305,0.0005909796,0.001165028,0.003337978,0.02966887,0.010845,0.2681723,0.6802466],"study_design_scores_gemma":[0.0007940984,0.0006532723,0.005603768,0.0003632393,0.0001404512,0.002481159,0.0006963345,0.2247792,0.1128333,0.044596,0.6068094,0.0002498506],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.01024378,0.0005023421,0.4302173,0.0007004736,0.0004061177,0.001329738,0.01277657,0.5328935,0.01093019],"genre_scores_gemma":[0.1581484,0.0005317054,0.7390295,0.001151709,0.0002648973,0.002185539,0.05767047,0.01805759,0.02296026],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04564723,"threshold_uncertainty_score":0.1527052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06436756330711148,"score_gpt":0.2753353653220383,"score_spread":0.2109678020149268,"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."}}