{"id":"W2963258372","doi":"","title":"Bayesian Optimisation for Machine Translation","year":2014,"lang":"en","type":"article","venue":"Neural Information Processing Systems","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Machine translation; Bayesian probability; Artificial intelligence; Translation (biology); Machine learning","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":[0.0005490921,0.0001510846,0.00015699,0.0001992192,0.0002594238,0.0009707939,0.0004591112,0.0001013137,0.000001066695],"category_scores_gemma":[0.0001035129,0.0001295584,0.00004634029,0.0003118996,0.00001815629,0.00597787,0.00002690169,0.0001095241,0.000006471114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004735224,"about_ca_system_score_gemma":0.00003759695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001918785,"about_ca_topic_score_gemma":0.000001211953,"domain_scores_codex":[0.9987969,0.00004941355,0.0004847884,0.0001682545,0.00028885,0.0002118119],"domain_scores_gemma":[0.998996,0.00007046473,0.0003593285,0.000234375,0.0002818046,0.00005808724],"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":[0.00001153769,0.000008508999,0.00002166641,0.0005383326,0.000002997577,9.664907e-8,0.001229763,0.002575836,0.0004439753,0.01785797,0.0003362266,0.9769731],"study_design_scores_gemma":[0.0002863686,0.00005987041,0.000007648423,0.00007270373,0.000004533501,0.00001987349,0.00002137821,0.9866267,0.001508008,0.002170423,0.009055106,0.0001673115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000112537,0.0007618292,0.9957883,0.0008059145,0.0003252452,0.0004785823,0.000003803855,0.000993657,0.0007300801],"genre_scores_gemma":[0.7445383,0.000001306549,0.2548271,0.0003554388,0.00008437049,0.00009244835,0.00005516451,0.000007634133,0.0000382023],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9840509,"threshold_uncertainty_score":0.9361388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01643270950265633,"score_gpt":0.2644331030127081,"score_spread":0.2480003935100517,"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."}}