{"id":"W7161992278","doi":"10.82308/1860","title":"Speech based machine aided human translation for a document translation task","year":2012,"lang":"en","type":"dissertation","venue":"","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human being; Machine translation","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":[0.0009194915,0.001507663,0.001147832,0.001206969,0.001034332,0.001810227,0.001082469,0.002157549,0.02274885],"category_scores_gemma":[0.00263806,0.0004152707,0.001064509,0.001329497,0.0004229018,0.001340089,0.0009269826,0.001369865,0.01935492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006374737,"about_ca_system_score_gemma":0.0018414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006228898,"about_ca_topic_score_gemma":0.009039997,"domain_scores_codex":[0.9992104,0.0002000351,0.0000602365,0.0002849048,0.0001442296,0.0001001017],"domain_scores_gemma":[0.9988845,0.0005021925,0.00005611779,0.0001546114,0.0003484524,0.00005420062],"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":[0.001291889,0.0002789303,0.0007652373,0.0007501547,0.0001388496,0.0009060133,0.0003780446,0.0183171,0.06695379,0.002737072,0.03649191,0.8709911],"study_design_scores_gemma":[0.0002730147,0.000757425,0.003662911,0.0001420555,0.0002409008,0.001367518,0.0009399967,0.81016,0.1118362,0.008371798,0.06212493,0.0001233077],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1310524,0.00556538,0.7682357,0.001869433,0.002177296,0.0008726267,0.005692281,0.0582458,0.02628899],"genre_scores_gemma":[0.4732457,0.002091392,0.4412794,0.0006414271,0.0006079351,0.0006539946,0.01287706,0.001156876,0.06744622],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02274885,"threshold_uncertainty_score":0.0761025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02333571992939213,"score_gpt":0.3260513608269938,"score_spread":0.3027156408976017,"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."}}