{"id":"W2272820391","doi":"","title":"Английские фонетические заимствования в квебекском разговорном языке (XIX-начало XX В. )","year":2014,"lang":"ru","type":"article","venue":"Вестник Бурятского государственного университета. Философия","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Linguistics; Period (music); History; Lexicographical order; Art; Mathematics; 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","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.003614009,0.003967418,0.004571915,0.002013774,0.004565226,0.004955703,0.004080613,0.001669677,0.06009512],"category_scores_gemma":[0.002332007,0.003884637,0.004051421,0.001267216,0.00301454,0.001524805,0.00163567,0.003126706,0.01470789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007140542,"about_ca_system_score_gemma":0.001095388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006003024,"about_ca_topic_score_gemma":0.006410618,"domain_scores_codex":[0.9799045,0.001383879,0.004963831,0.004567415,0.003823762,0.005356577],"domain_scores_gemma":[0.985173,0.001609162,0.002686609,0.005616108,0.002276593,0.002638458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005372174,0.002953091,0.003555456,0.001255782,0.004009346,0.0004218737,0.01457485,0.0005397965,0.0005245397,0.7324809,0.2137199,0.02542718],"study_design_scores_gemma":[0.004252919,0.001407287,0.001249272,0.000950562,0.004307339,0.00009214295,0.006084314,0.01011895,0.000685429,0.02850526,0.9369872,0.005359374],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05857665,0.01649413,0.003215694,0.008173452,0.02054973,0.002747451,0.002447393,0.001999988,0.8857955],"genre_scores_gemma":[0.8563764,0.002270431,0.0007886638,0.005770311,0.0303117,0.0002636855,0.001224355,0.0009098821,0.1020846],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7977998,"threshold_uncertainty_score":0.9996987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02615948682201245,"score_gpt":0.2563206925667652,"score_spread":0.2301612057447528,"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."}}