{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002368643,0.0001352762,0.0001528085,0.00004699844,0.0001162069,0.0001394225,0.0008194667,0.00006283303,0.0000874634],"category_scores_gemma":[0.0001420558,0.0001372483,0.00007353544,0.0004531003,0.00003032619,0.0003467028,0.0001862839,0.0001699177,0.001334581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003265956,"about_ca_system_score_gemma":0.00004591535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001452174,"about_ca_topic_score_gemma":0.000002209647,"domain_scores_codex":[0.9985917,0.00006285398,0.000347573,0.0005407162,0.0001763644,0.0002807624],"domain_scores_gemma":[0.9990143,0.00005098786,0.00007644302,0.000562396,0.0001126889,0.0001831962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009086179,0.00009168671,0.0004767012,0.00007946158,0.00001606752,0.0000529733,0.004773982,0.2276856,0.02746032,0.4766694,0.00262832,0.2600564],"study_design_scores_gemma":[0.00001647041,0.00005503557,0.00001236239,0.00001953463,0.000002656038,0.000007362975,0.00006924284,0.9092199,0.06936446,0.002436029,0.01863747,0.0001595051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01450353,0.000297572,0.9762648,0.00638805,0.0004985751,0.0001381881,8.256019e-7,0.0002801383,0.001628371],"genre_scores_gemma":[0.9351998,0.00004013974,0.0621445,0.001684021,0.0004616877,0.00001530817,0.000001868646,0.00001270713,0.0004399903],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9206963,"threshold_uncertainty_score":0.999443,"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."}}