{"id":"W1880646308","doi":"10.3968/j.ccc.1923670020130903.3250","title":"Study on Introducing Excellent Foreign Education Resources and Cultivating International Talents","year":2013,"lang":"en","type":"article","venue":"Cross-cultural communication","topic":"Higher Education and Teaching Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"GRASP; China; Economic globalization; Globalization; Order (exchange); Business; International trade; Political science; Engineering ethics; Engineering","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006385791,0.0001447566,0.00011254,0.0001000795,0.0006030495,0.001454531,0.001099048,0.00004591993,0.00003947702],"category_scores_gemma":[0.0003421976,0.0001178585,0.00003238834,0.0001872782,0.00009688834,0.001492432,0.000418067,0.0002625958,0.00005369618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001111384,"about_ca_system_score_gemma":0.0000289851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002239506,"about_ca_topic_score_gemma":0.000003539897,"domain_scores_codex":[0.998554,0.0003719635,0.000308482,0.0003578835,0.0002566831,0.000151023],"domain_scores_gemma":[0.9982618,0.0001764901,0.0001981816,0.0008873949,0.0003972377,0.00007889596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001548085,0.002009014,0.2910677,0.00002656401,0.00009135733,4.65513e-7,0.118042,0.0001818335,0.007805029,0.07082466,0.005691228,0.5042446],"study_design_scores_gemma":[0.0007606542,0.0001628363,0.9458421,0.00009803764,0.000009198076,0.00001410528,0.01599927,0.003096258,0.001508572,0.004818902,0.02727229,0.0004178006],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830225,0.000114207,0.001885069,0.003193245,0.0003941924,0.0004255183,4.935577e-7,0.0001475581,0.01081722],"genre_scores_gemma":[0.9643499,0.00001927701,0.03370847,0.0002974907,0.0001094412,0.0001442667,0.00002303235,0.000008563662,0.001339559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6547744,"threshold_uncertainty_score":0.9995821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04077768213160252,"score_gpt":0.3913486652744828,"score_spread":0.3505709831428802,"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."}}