{"id":"W7096905226","doi":"","title":"Proceedings of COLING'98, Montreal, 1998 Multext-East: Parallel and Comparable Corpora and Lexicons for Six Central and Eastern European Languages","year":2008,"lang":"en","type":"article","venue":"","topic":"Authorship Attribution and Profiling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Polish; Corpus linguistics; European union; Languages of Africa; Grammar","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":[0.002763689,0.001617179,0.001675591,0.003695264,0.003727938,0.007407984,0.001960664,0.001188109,0.1173097],"category_scores_gemma":[0.008008114,0.001501488,0.0005466468,0.006007028,0.002206794,0.004721326,0.002018713,0.001771724,0.06053793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003998576,"about_ca_system_score_gemma":0.007533075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1890742,"about_ca_topic_score_gemma":0.315894,"domain_scores_codex":[0.9987669,0.0002751326,0.00007910682,0.0002859685,0.0004629839,0.0001299718],"domain_scores_gemma":[0.9956233,0.001284931,0.0001544044,0.001029769,0.001284121,0.0006234848],"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":[0.0002078159,0.000090708,0.0008695814,0.0002216657,0.00002124958,0.0001486205,0.0006426847,0.0006819449,0.001616581,0.006008896,0.7818468,0.2076434],"study_design_scores_gemma":[0.00003119038,0.00001332217,0.001949744,0.000138595,0.00001945878,0.00009309765,0.0003195247,0.002179608,0.001958751,0.004134305,0.9891311,0.00003142818],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03109694,0.03016017,0.3264376,0.023559,0.009471405,0.001570382,0.07467495,0.04007777,0.4629518],"genre_scores_gemma":[0.0479392,0.01117177,0.1078528,0.001088682,0.0009187357,0.0005947449,0.08456782,0.01965202,0.7262142],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1890742,"threshold_uncertainty_score":0.3924402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.134181619079642,"score_gpt":0.3168255353526008,"score_spread":0.1826439162729587,"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."}}