{"id":"W2082718666","doi":"10.1145/1871437.1871582","title":"Clickthrough-based translation models for web search","year":2010,"lang":"en","type":"article","venue":"","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Phrase; Machine translation; Natural language processing; Artificial intelligence; Information retrieval; Language model; Word (group theory); Cross-language information retrieval; Translation (biology); Set (abstract data type); Linguistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002850253,0.00007329388,0.00007047226,0.00007258453,0.00007851302,0.0001243534,0.0005786624,0.00008342829,0.00001265477],"category_scores_gemma":[0.00001455403,0.00005895824,0.0000466629,0.000183688,0.00002692962,0.0005980206,0.00002949132,0.0001579697,0.000004645788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008159291,"about_ca_system_score_gemma":0.00009687531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001916591,"about_ca_topic_score_gemma":0.00004251981,"domain_scores_codex":[0.9993086,0.00001262133,0.0001058913,0.0002321245,0.0001631669,0.000177568],"domain_scores_gemma":[0.9994139,0.00009614942,0.00002031048,0.00032121,0.0001069302,0.0000414936],"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":[0.00001062774,0.00004389686,0.00001242398,0.00003615174,0.000003108995,0.000001200887,0.0002222064,0.0001466104,0.1753933,0.535886,0.0007644214,0.28748],"study_design_scores_gemma":[0.00016324,0.00002697561,0.000002216455,0.00000363194,0.000001103113,0.000001235116,0.000001144264,0.7639248,0.1424391,0.09232477,0.001032604,0.00007916732],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001556692,0.00009743153,0.9934328,0.002462154,0.0001028061,0.0002402913,0.000002020829,0.0008178746,0.001287902],"genre_scores_gemma":[0.438867,4.22667e-7,0.5607463,0.0002778452,0.00002565911,0.00001748389,0.000002101789,0.000004428531,0.00005878596],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7637782,"threshold_uncertainty_score":0.2404247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04394242775007334,"score_gpt":0.3288017459179282,"score_spread":0.2848593181678548,"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."}}