{"id":"W2787433704","doi":"","title":"Image of Russia in Modern Chinese Russian Language Textbooks as Foreign","year":2018,"lang":"en","type":"article","venue":"Journals & Books Hosting (International Knowledge Sharing Platform)","topic":"Central Asia Education and Culture","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; Northeast Normal University","keywords":"China; Constructive; Foreign language; Chinese culture; Russian language; Chinese as a foreign language; Political science; History; Linguistics; Law; Philosophy; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001026914,0.0002126167,0.0002733665,0.0003329745,0.0004576549,0.0002849886,0.0007715332,0.0001447454,0.001769945],"category_scores_gemma":[0.0006771256,0.0001831598,0.0001672383,0.0002732364,0.0002141116,0.0006846741,0.0001457676,0.0004023222,0.0001420503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00032798,"about_ca_system_score_gemma":0.0003319704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008717505,"about_ca_topic_score_gemma":0.003550148,"domain_scores_codex":[0.9979712,0.00004228885,0.000637661,0.0003162162,0.0005631727,0.0004694451],"domain_scores_gemma":[0.9987561,0.0000993592,0.0004005107,0.0001879507,0.0003237844,0.0002322582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003244834,0.0007921808,0.145285,0.0001124455,0.0002719975,0.0001069943,0.5434256,0.00002151748,0.02350934,0.2176161,0.002313648,0.06622062],"study_design_scores_gemma":[0.00836848,0.0005870461,0.263979,0.007032482,0.0001763578,0.0004480895,0.1521698,0.02805547,0.009137082,0.4452259,0.08130772,0.003512557],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5036258,0.0002741717,0.00007069592,0.0003567876,0.0005323025,0.0001391254,0.000008313396,0.00004743815,0.4949454],"genre_scores_gemma":[0.984602,0.00004596625,0.0007888061,0.0001293025,0.001687218,0.000009638455,0.00001351564,0.0000256567,0.01269795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4822474,"threshold_uncertainty_score":0.9991426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02957754565638698,"score_gpt":0.3765580662503035,"score_spread":0.3469805205939165,"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."}}