{"id":"W2886617011","doi":"10.3968/10234","title":"Problems and Solutions in Bi-Foreign-Language Talents Cultivation in China’s Universities","year":2018,"lang":"en","type":"article","venue":"Studies in literature and language","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Obstacle; Mathematics education; Class (philosophy); Foreign language; Set (abstract data type); Curriculum; Point (geometry); China; Pedagogy; Psychology; Computer science; Political science; Mathematics; Artificial intelligence","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":[0.006502631,0.000348173,0.0004424879,0.002839657,0.008645236,0.006330707,0.002228067,0.002157527,0.004838817],"category_scores_gemma":[0.007046548,0.0003311126,0.0004216326,0.004309408,0.003309908,0.004313029,0.004244647,0.001367135,0.0002955395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0105102,"about_ca_system_score_gemma":0.02436625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05822399,"about_ca_topic_score_gemma":0.04917604,"domain_scores_codex":[0.9938393,0.001533748,0.0006446388,0.0007453587,0.00120461,0.002032264],"domain_scores_gemma":[0.9933569,0.001320512,0.0007686405,0.0004757415,0.001786327,0.002291863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002433771,0.0004844921,0.3026526,0.001912818,0.00008346309,0.006251506,0.1025598,0.003391232,0.002558823,0.1379729,0.03346561,0.4084234],"study_design_scores_gemma":[0.00008961477,0.0002909933,0.33652,0.001624213,0.00009031004,0.002731204,0.3697357,0.009939887,0.003303314,0.07936452,0.1960017,0.0003085961],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8330997,0.00904077,0.004190182,0.1146633,0.0007722754,0.0001933629,0.0001700951,0.0001840395,0.03768631],"genre_scores_gemma":[0.9897267,0.001718877,0.001842475,0.001605983,0.0001089974,0.00007318723,0.00006258704,0.00001188734,0.004849152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05822399,"threshold_uncertainty_score":0.1157702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02684571508574146,"score_gpt":0.2843919759239653,"score_spread":0.2575462608382238,"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."}}