{"id":"W483512959","doi":"","title":"Englisches Lehngut in der Russischen Fachsprache Des Marketings Und Des Außenhandels","year":2005,"lang":"de","type":"article","venue":"Canadian Slavonic Papers","topic":"Linguistics, Language Diversity, and Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001669858,0.000370536,0.000314809,0.001581965,0.009550671,0.005965114,0.0003452397,0.002183572,0.01647674],"category_scores_gemma":[0.001589174,0.000201628,0.0001877128,0.001810717,0.004865856,0.003503423,0.003007488,0.003381327,0.002581582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006908711,"about_ca_system_score_gemma":0.00851105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03147233,"about_ca_topic_score_gemma":0.07940392,"domain_scores_codex":[0.9985468,0.0005126838,0.00005142083,0.0002057916,0.0002058157,0.000477451],"domain_scores_gemma":[0.9993179,0.0002268907,0.00007545699,0.00004128036,0.0001126209,0.000225958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005979047,0.00002683808,0.001789482,0.0001069802,0.000004429223,0.0005823601,0.04640275,0.000170811,0.0006060945,0.8723848,0.03285984,0.04500578],"study_design_scores_gemma":[0.00001354566,0.00003555191,0.005155965,0.0002829407,0.000007344721,0.0003168364,0.03254569,0.0001299282,0.0006063635,0.0763665,0.8845189,0.0000204498],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1541325,0.05239521,0.005582842,0.1086328,0.00344316,0.00004677591,0.0003915789,0.0002094129,0.6751657],"genre_scores_gemma":[0.7394955,0.00583891,0.001778089,0.002660135,0.000424954,0.00003262923,0.00009869133,0.0001193413,0.2495518],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03147233,"threshold_uncertainty_score":0.06257826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02330873614371285,"score_gpt":0.2300423584807072,"score_spread":0.2067336223369944,"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."}}