{"id":"W7098836144","doi":"","title":"Improvements in Phrase-Based Statistical Machine Translation","year":2008,"lang":"en","type":"article","venue":"","topic":"Medical and Biological Sciences","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Machine translation; Translation (biology); Task (project management); Set (abstract data type); Word (group theory); Sentence; Evaluation of machine translation; Baseline (sea); Test set","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":[0.007076701,0.002077236,0.001376289,0.003256617,0.000872533,0.001981432,0.002330128,0.001510762,0.01323593],"category_scores_gemma":[0.0231975,0.001011889,0.001545962,0.006744482,0.0008289669,0.004780138,0.00201138,0.002365182,0.01414004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009052011,"about_ca_system_score_gemma":0.001456421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006914308,"about_ca_topic_score_gemma":0.005034869,"domain_scores_codex":[0.9931322,0.002396735,0.0007425011,0.00111605,0.002434602,0.0001778691],"domain_scores_gemma":[0.9850493,0.006368604,0.0004984339,0.002877238,0.005099682,0.0001066487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000355815,0.0001779061,0.001105885,0.001185123,0.0001990782,0.0001663594,0.0002200913,0.01813189,0.0255156,0.01070475,0.03208853,0.9101489],"study_design_scores_gemma":[0.0003796416,0.001312013,0.006865073,0.0004029196,0.0008081638,0.001949142,0.0003282549,0.5616348,0.07107011,0.06047599,0.2944362,0.0003377649],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0177399,0.01844474,0.9311715,0.002178895,0.001155684,0.0003219647,0.002201634,0.01805994,0.008725707],"genre_scores_gemma":[0.08091681,0.008711535,0.890685,0.0009313822,0.001363268,0.0002587028,0.007911266,0.001777951,0.007444048],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01323593,"threshold_uncertainty_score":0.04427856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06185700869906104,"score_gpt":0.3119666485045984,"score_spread":0.2501096398055374,"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."}}