{"id":"W2804709417","doi":"10.5339/qfarc.2018.ictpd881","title":"Towards OpenDomain CrossLanguage Question Answering","year":2018,"lang":"en","type":"article","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Question answering; Computer science; Natural language processing; Task (project management); Machine translation; Open domain; Artificial intelligence; Domain (mathematical analysis); World Wide Web; Information retrieval; Semitic languages; Natural language; Arabic; Linguistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.007833936,0.001528624,0.001253311,0.003045565,0.001619315,0.004790513,0.002566626,0.003396643,0.008759454],"category_scores_gemma":[0.02150505,0.0007309267,0.002176666,0.00230438,0.001913995,0.01116421,0.01181137,0.004503435,0.006852683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001169596,"about_ca_system_score_gemma":0.001939874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002749064,"about_ca_topic_score_gemma":0.003724224,"domain_scores_codex":[0.9905294,0.004483815,0.0007889727,0.002239639,0.001405912,0.0005523292],"domain_scores_gemma":[0.9859734,0.007223502,0.0005623414,0.002792695,0.002832187,0.0006159277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008487024,0.001335299,0.007896926,0.003025101,0.0004264517,0.002297634,0.008603522,0.02368646,0.03832153,0.1805068,0.1095567,0.6234949],"study_design_scores_gemma":[0.0002082341,0.0002315834,0.002607867,0.000438596,0.0001777682,0.001201098,0.003002058,0.3020617,0.03394187,0.3463539,0.3096203,0.0001552326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02392403,0.001798557,0.9347531,0.003326382,0.0003638582,0.0003800592,0.004146001,0.02114621,0.01016172],"genre_scores_gemma":[0.1786624,0.0007482955,0.777025,0.003100158,0.0003629227,0.0006624127,0.03142148,0.001393397,0.006623909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008759454,"threshold_uncertainty_score":0.04143035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01834769336135792,"score_gpt":0.2942623266627611,"score_spread":0.2759146333014031,"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."}}