{"id":"W1154413668","doi":"","title":"Употребление перифразы для обозначения географических объектов Квебека","year":2014,"lang":"ru","type":"article","venue":"CyberLeninK (CyberLeninka)","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Toponymy; Paraphrase; Linguistics; Representation (politics); Object (grammar); Value (mathematics); Geography; Ethnology; Sociology; Computer science; Philosophy; Political science; Law","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.003562114,0.003064793,0.003404755,0.001168421,0.001535883,0.0009323448,0.003125131,0.003217596,0.01954332],"category_scores_gemma":[0.0008570938,0.003191325,0.002124751,0.002310699,0.001488492,0.001109073,0.0008144103,0.003760984,0.04200812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000572219,"about_ca_system_score_gemma":0.00048526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001339994,"about_ca_topic_score_gemma":0.0005642668,"domain_scores_codex":[0.982439,0.002430859,0.003405628,0.00450736,0.002442752,0.004774379],"domain_scores_gemma":[0.9885823,0.001354049,0.00187907,0.005143858,0.001007006,0.00203377],"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":[0.002744482,0.005229824,0.0108098,0.0009830954,0.004092591,0.001378497,0.0294567,0.00006909086,0.007066146,0.1740803,0.3852503,0.3788392],"study_design_scores_gemma":[0.01583892,0.002784879,0.03186287,0.001218969,0.003266799,0.001097622,0.006677508,0.0008195342,0.005914537,0.01490801,0.9086483,0.006962114],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4151176,0.01666114,0.003790143,0.003611665,0.01910351,0.003110949,0.000564924,0.002053954,0.5359861],"genre_scores_gemma":[0.8816779,0.001093416,0.002207377,0.005351342,0.009413459,0.0005573437,0.0009337316,0.0008687617,0.09789667],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5233979,"threshold_uncertainty_score":0.999764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01678183537972358,"score_gpt":0.2757591205888101,"score_spread":0.2589772852090866,"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."}}