{"id":"W2971045947","doi":"10.18653/v1/w19-5434","title":"NRC Parallel Corpus Filtering System for WMT 2019","year":2019,"lang":"en","type":"article","venue":"","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Task (project management); Machine translation; Natural language processing; Artificial intelligence; Translation (biology); Information retrieval; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007186286,0.003312396,0.002974785,0.006544162,0.004958498,0.005278442,0.004385267,0.003082571,0.1162447],"category_scores_gemma":[0.02280478,0.002229071,0.001995235,0.006745255,0.0009886972,0.00445897,0.004883227,0.00429399,0.1093124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003281523,"about_ca_system_score_gemma":0.01054034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03886295,"about_ca_topic_score_gemma":0.04762397,"domain_scores_codex":[0.9950554,0.0009750543,0.0005023617,0.001179663,0.001787309,0.0005001551],"domain_scores_gemma":[0.9868222,0.002285926,0.0003976106,0.003151403,0.006403795,0.0009389667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006010677,0.0001250415,0.0005151796,0.00066117,0.0001361036,0.0005315904,0.0002843321,0.001452545,0.01362883,0.003697442,0.8963407,0.08202604],"study_design_scores_gemma":[0.0004114872,0.0002037773,0.002437406,0.0001597337,0.0001268824,0.0007900731,0.0003927809,0.03175138,0.03519014,0.009857608,0.9184605,0.0002182849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.01527169,0.001539472,0.2363427,0.004240956,0.005961172,0.002214564,0.3124023,0.3647718,0.0572553],"genre_scores_gemma":[0.02551967,0.0003628352,0.2606803,0.001031022,0.0006750843,0.00181055,0.6287863,0.03936216,0.04177207],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.1162447,"threshold_uncertainty_score":0.3888774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0106279065497854,"score_gpt":0.2485762465397344,"score_spread":0.237948339989949,"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."}}