{"id":"W3021520429","doi":"10.1007/978-3-031-02138-1","title":"Cross-Language Information Retrieval","year":2010,"lang":"en","type":"book","venue":"Synthesis lectures on human language technologies","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":109,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Cross-language information retrieval; Artificial intelligence; Natural language processing; Information retrieval; Linguistics; Machine translation; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007310985,0.001399263,0.001256944,0.003566313,0.0006321297,0.003414291,0.001202368,0.0007882328,0.0914996],"category_scores_gemma":[0.001462885,0.0005300672,0.0008979359,0.004516041,0.0005350576,0.006046797,0.001965757,0.001069521,0.07154461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000725483,"about_ca_system_score_gemma":0.0008392428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008152584,"about_ca_topic_score_gemma":0.00126675,"domain_scores_codex":[0.9993708,0.00005610063,0.00005107519,0.000154556,0.0003141759,0.00005340009],"domain_scores_gemma":[0.9993706,0.0001537882,0.0000286966,0.0001444184,0.0002552004,0.0000472836],"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":[0.00005163432,0.00006241315,0.00009736546,0.0004930208,0.00005182257,0.00007847514,0.00006464534,0.0004713554,0.007929564,0.02050977,0.2234913,0.7466986],"study_design_scores_gemma":[0.00001982119,0.00008481865,0.0008272881,0.0002258925,0.000091222,0.001369525,0.00007922467,0.005940902,0.01704754,0.03852123,0.9357429,0.00004970052],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.007068259,0.08329187,0.4214298,0.002383543,0.006876368,0.000224032,0.002749009,0.01133725,0.4646399],"genre_scores_gemma":[0.03022887,0.02164521,0.1168472,0.001243226,0.002045,0.0001411146,0.008510413,0.002237479,0.8171014],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.0914996,"threshold_uncertainty_score":0.3060967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01153816710099544,"score_gpt":0.2955057917965311,"score_spread":0.2839676246955357,"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."}}