{"id":"W7098699062","doi":"","title":"1 1 Statistical Machine Translation Using Monolingual Corpora","year":2008,"lang":"en","type":"article","venue":"","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Machine translation; Novelty; Lexicon; Matching (statistics); Rule-based machine translation; Example-based machine translation; Statistical model; Range (aeronautics)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001006585,0.00008639857,0.0001068978,0.0001050312,0.0001779131,0.00002025318,0.0004841759,0.00005134183,0.00001847824],"category_scores_gemma":[0.00003594633,0.00008273429,0.00002376334,0.0001896224,0.0001109919,0.0001694105,0.00008075015,0.00010915,0.00003960168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004302293,"about_ca_system_score_gemma":0.00007084166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005340437,"about_ca_topic_score_gemma":0.00000446302,"domain_scores_codex":[0.9992329,0.00002603313,0.0001603501,0.0002261842,0.0001860642,0.0001684956],"domain_scores_gemma":[0.9994851,0.00007877045,0.0000449784,0.0003199191,0.00003179609,0.00003940403],"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":[0.00002042396,0.0002404702,0.005324306,0.0000227441,0.00003550141,0.0006244835,0.0036692,0.005575526,0.005435568,0.448827,0.005412219,0.5248126],"study_design_scores_gemma":[0.0001708381,0.00004755365,0.001044332,0.000003519687,0.000002087215,0.0001791782,0.000004673339,0.9877627,0.0009732375,0.006732992,0.002926599,0.0001522803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08225439,0.0001197328,0.9147621,0.0002243655,0.0001663585,0.00005185033,9.945244e-7,0.0009978805,0.001422344],"genre_scores_gemma":[0.5150815,0.000001548745,0.4848317,0.00003845223,0.00001077594,3.604542e-7,7.069856e-7,0.000003080854,0.00003191123],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9821872,"threshold_uncertainty_score":0.3373806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09503240162436224,"score_gpt":0.2774491036424984,"score_spread":0.1824167020181361,"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."}}