{"id":"W47721161","doi":"","title":"Интернет-мониторинг в контексте анализа языковой ситуации в Канаде","year":2012,"lang":"ru","type":"article","venue":"Bulletin of Chelyabinsk State University","topic":"Lexicography and Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Linguistics; Spelling; The Internet; Computer science; Natural language processing; World Wide Web; Philosophy","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005781402,0.0006413866,0.0008259652,0.0003943623,0.001125967,0.00009682232,0.0006432253,0.000214179,0.0195713],"category_scores_gemma":[0.00007775524,0.000660194,0.0006721147,0.0002280042,0.001683423,0.0002784533,0.0005232953,0.0005640386,0.0009081535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001474675,"about_ca_system_score_gemma":0.00009378358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003847735,"about_ca_topic_score_gemma":0.0003428024,"domain_scores_codex":[0.9968091,0.000317075,0.0005507033,0.0005403752,0.0005656151,0.001217171],"domain_scores_gemma":[0.9977065,0.0002852044,0.0005774233,0.0006155636,0.0004098803,0.0004054186],"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":[0.001694519,0.003455135,0.018336,0.001770045,0.002909059,0.0003450811,0.4108979,0.00001835082,0.0001561981,0.1136287,0.4379673,0.008821746],"study_design_scores_gemma":[0.001984369,0.0002598993,0.006349615,0.0002250818,0.0003823488,0.000007148285,0.03874886,0.000002383015,0.000439524,0.0001588194,0.9506922,0.000749744],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6175281,0.008732761,0.00002902336,0.00216922,0.001697293,0.0005609379,0.001449142,0.0002070674,0.3676264],"genre_scores_gemma":[0.9131642,0.002522734,0.0001946132,0.0003827905,0.0008062043,0.000001493103,0.00005040125,0.0000568151,0.08282076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5127249,"threshold_uncertainty_score":0.9998698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0134872847373353,"score_gpt":0.1833591220369909,"score_spread":0.1698718372996556,"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."}}