{"id":"W1658466373","doi":"10.3968/j.hess.1927024020120203.1683","title":"Discussion on the Factors Influencing the Effect of Bilingual Teaching in Chinese Universities and Countermeasures","year":2012,"lang":"en","type":"article","venue":"Higher education of social science","topic":"Higher Education and Teaching Methods","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic shortage; China; Mathematics education; Foreign language; Teaching method; Foreign language teaching; Chinese language; Key (lock); Teaching and learning center; Psychology; Computer science; Political science; Linguistics; Government (linguistics)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002839904,0.00008419467,0.0001049858,0.0001349263,0.0004652329,0.00005577665,0.0005807996,0.00002682119,0.000008420641],"category_scores_gemma":[0.0001454542,0.00003583973,0.0000293751,0.0005482796,0.0004336224,0.0004986334,0.00009553685,0.0001735946,5.887639e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001073869,"about_ca_system_score_gemma":0.0002851125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001979302,"about_ca_topic_score_gemma":0.000002334152,"domain_scores_codex":[0.9987057,0.0004976579,0.0001401391,0.0001367054,0.0003588565,0.0001608694],"domain_scores_gemma":[0.9990274,0.0005568292,0.0001427448,0.0001918782,0.0000366623,0.00004449522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005077348,0.00008862664,0.496803,0.00001726922,0.000003251221,1.857677e-8,0.1621613,0.000002954537,0.003783269,0.3330411,0.00004501398,0.00404902],"study_design_scores_gemma":[0.00005182895,0.00003238662,0.9921171,0.00002710441,0.000002790264,2.993498e-7,0.005092096,0.00001126271,0.001570262,0.0002679059,0.0007755501,0.00005141837],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909052,0.000045393,0.00008383334,0.0009636601,0.0008241014,0.00009935164,4.114933e-7,0.00001200219,0.007066016],"genre_scores_gemma":[0.9992834,7.13314e-7,0.0002249347,0.00008039599,0.00007396502,0.000003051726,2.355325e-7,0.000002531167,0.0003308164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.495314,"threshold_uncertainty_score":0.3578242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01687440538433906,"score_gpt":0.34839708006246,"score_spread":0.331522674678121,"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."}}