{"id":"W2031287800","doi":"10.7202/002996ar","title":"Machine Translation Research in Czechoslovakia","year":2002,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Czech; Computer science; Parsing; Closeness; Natural language processing; Machine translation; Artificial intelligence; Representation (politics); Word (group theory); Translation (biology); Linguistics; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.004075712,0.0005585795,0.001161412,0.003925601,0.002559253,0.00559046,0.0009061909,0.001172782,0.004236589],"category_scores_gemma":[0.004744912,0.0005738072,0.001047723,0.005779008,0.002772256,0.00418709,0.001825256,0.001666049,0.001558347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01054514,"about_ca_system_score_gemma":0.01517244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03848651,"about_ca_topic_score_gemma":0.02916239,"domain_scores_codex":[0.9965839,0.000851348,0.0005780585,0.0009995701,0.0006726232,0.0003143593],"domain_scores_gemma":[0.9978059,0.000764833,0.0002516457,0.0003223949,0.0006606351,0.0001945608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003487447,0.0001106974,0.003429188,0.003438387,0.0001590342,0.001352764,0.003598475,0.008110782,0.02486969,0.4383988,0.01877143,0.497412],"study_design_scores_gemma":[0.00009718809,0.000147642,0.01789711,0.00140894,0.0001174566,0.001137685,0.001184603,0.004099945,0.01057859,0.04706413,0.9161046,0.0001621017],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1085,0.5201246,0.06776675,0.02918138,0.003956533,0.0003332564,0.001809033,0.002361774,0.2659669],"genre_scores_gemma":[0.6785058,0.1674024,0.08555293,0.001652707,0.0006772402,0.0003627873,0.002397099,0.0007712318,0.06267782],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03848651,"threshold_uncertainty_score":0.07652497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1371493094881652,"score_gpt":0.3561063206117679,"score_spread":0.2189570111236027,"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."}}