{"id":"W855910777","doi":"","title":"Лексема \"oblivion”: развитие семантики в правовых текстах Канады","year":2015,"lang":"ru","type":"article","venue":"В мире науки и искусства: вопросы филологии, искусствоведения и культурологии","topic":"Lexicography and Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lexeme; Linguistics; History; Semantics (computer science); Philosophy; Computer science","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","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.00476145,0.005492691,0.005325059,0.002990587,0.004892929,0.00439283,0.00466866,0.002334711,0.02788453],"category_scores_gemma":[0.001607013,0.005271622,0.003783298,0.002524784,0.005664275,0.003990759,0.002755473,0.004779298,0.01783583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001488668,"about_ca_system_score_gemma":0.00226075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006260418,"about_ca_topic_score_gemma":0.007021683,"domain_scores_codex":[0.9739755,0.002145804,0.00572235,0.00551038,0.005375038,0.007270953],"domain_scores_gemma":[0.9823197,0.00134483,0.0030515,0.005607086,0.003431061,0.004245809],"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":[0.00205487,0.005235135,0.004910083,0.001817201,0.00478223,0.001973531,0.1340506,0.0002408325,0.0004386346,0.1864609,0.6303935,0.02764244],"study_design_scores_gemma":[0.01018018,0.002860016,0.003308035,0.001751061,0.002525451,0.0004156721,0.06029895,0.0005935659,0.0008300224,0.01261209,0.8971594,0.007465541],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1450686,0.07806232,0.0005570021,0.009778178,0.02966899,0.005816435,0.003996124,0.003950662,0.7231017],"genre_scores_gemma":[0.8144439,0.003646108,0.001022999,0.006301078,0.01818694,0.000698564,0.001101626,0.001296379,0.1533023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6693754,"threshold_uncertainty_score":0.9989605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07844384234356043,"score_gpt":0.2553920579149828,"score_spread":0.1769482155714223,"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."}}