{"id":"W2886751231","doi":"","title":"Simultaneous Translation using Optimized Segmentation","year":2018,"lang":"en","type":"article","venue":"Conference of the Association for Machine Translation in the Americas","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Translation (biology); Computer science; Segmentation; Artificial intelligence; Image segmentation; Computer vision; Natural language processing","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":[0.0008505956,0.0001168074,0.0001686378,0.00009477448,0.000181086,0.0001039299,0.0008237875,0.00007009132,0.000006120451],"category_scores_gemma":[0.0003243789,0.00007796977,0.0000970678,0.0006536743,0.00006754534,0.0004184435,0.0000223617,0.0001297457,0.000001175493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009860231,"about_ca_system_score_gemma":0.00006458678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001166901,"about_ca_topic_score_gemma":0.00004263792,"domain_scores_codex":[0.9986451,0.0002676065,0.000357198,0.0001943738,0.0003724576,0.0001632312],"domain_scores_gemma":[0.997993,0.0008479977,0.0005342929,0.0003000845,0.000310511,0.0000141076],"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":[0.0003615021,0.0003157721,0.00384926,0.0001204441,0.0001298066,0.000001177993,0.05098923,0.00993867,0.1111965,0.03841014,0.0001215063,0.784566],"study_design_scores_gemma":[0.0008423291,0.00009722051,0.0002337456,0.00004048837,0.00004048408,0.000002964755,0.0001101196,0.9491463,0.01806561,0.03110519,0.0001645653,0.0001510259],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005425812,0.0003043123,0.9902232,0.002802093,0.0001580357,0.0006793652,0.00001445087,0.00008342299,0.0003093385],"genre_scores_gemma":[0.7193484,0.000006437645,0.2804125,0.0001488101,0.00002795162,0.00001826653,0.000008102014,0.000005874886,0.00002365687],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9392076,"threshold_uncertainty_score":0.3179515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04451618106901561,"score_gpt":0.3323038208686652,"score_spread":0.2877876397996496,"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."}}