{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002699749,0.00005748025,0.00005821704,0.00002422225,0.00007767045,0.0001557503,0.0004678314,0.00002648214,0.00009876768],"category_scores_gemma":[0.00002941482,0.00004985808,0.00001912662,0.0001046873,0.00002587787,0.0003774289,0.0002168989,0.00004187288,0.0001405005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002275087,"about_ca_system_score_gemma":0.00002945148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002823538,"about_ca_topic_score_gemma":0.00005625146,"domain_scores_codex":[0.9993666,0.00002118746,0.0001037503,0.0002198129,0.0001285376,0.0001600842],"domain_scores_gemma":[0.9994998,0.000009483251,0.00002046605,0.0003856546,0.00003916369,0.000045457],"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":[0.000002914331,0.00002024118,0.0005823604,0.000006259977,0.000006541461,0.00002983439,0.003047712,0.00005647221,0.007709211,0.620381,0.0006318568,0.3675256],"study_design_scores_gemma":[0.001012519,0.0002529667,0.01174186,0.00006095599,0.000004994214,0.0001136353,0.0001791198,0.8078331,0.1179106,0.03597231,0.02422555,0.0006924066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07373954,0.00002001929,0.872509,0.0003821745,0.0003174473,0.00004958873,1.480592e-7,0.0002235315,0.05275853],"genre_scores_gemma":[0.7267345,7.271583e-7,0.271835,0.0002953688,0.0001489661,0.000002423468,2.163802e-7,0.000002834193,0.0009799844],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8077766,"threshold_uncertainty_score":0.2033154,"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."}}