{"id":"W3014743184","doi":"10.5430/rwe.v11n1p259","title":"International Experience and Trends in E-Learning Development in World Economy","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bộ Giáo dục và Ðào tạo","keywords":"Scope (computer science); Order (exchange); Context (archaeology); Investment (military); Subject (documents); Economic growth; E learning; Political science; Higher education; Business; Economics; Knowledge management; Educational technology; Computer science; Geography; Finance","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":[0.001037991,0.0001103827,0.0001882577,0.001788977,0.00006305488,0.0002863446,0.0007300834,0.00002660261,0.0001400251],"category_scores_gemma":[0.00006870004,0.0001247134,0.00002071326,0.00181649,0.00006721664,0.0005738685,0.0005840945,0.0008300085,0.00005379416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002564788,"about_ca_system_score_gemma":0.0001146942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007084551,"about_ca_topic_score_gemma":0.0009430489,"domain_scores_codex":[0.9983309,0.000150626,0.0003861498,0.0005279254,0.0001423599,0.0004620635],"domain_scores_gemma":[0.9994132,0.0001921585,0.00004859175,0.0001528796,0.00003317157,0.0001599964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001653808,0.0000872384,0.7622176,0.00002551235,0.000009410517,0.0001268057,0.007095838,0.005118835,0.00001113645,0.01877081,0.0003600987,0.2061601],"study_design_scores_gemma":[0.0007071543,0.00003008038,0.04440412,0.00009419427,2.143956e-7,0.000002049608,0.0003948094,0.3730053,0.0001098277,0.001316625,0.5797073,0.0002282513],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5102975,0.0002620971,0.001466148,0.1207178,0.0001653848,0.000297417,7.712524e-7,0.0001223893,0.3666705],"genre_scores_gemma":[0.9908442,0.00001820548,0.005862471,0.0002333975,0.00007800427,0.00004028119,0.000003954803,0.00000778192,0.002911668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7178136,"threshold_uncertainty_score":0.5085666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08674129777563801,"score_gpt":0.3761571035679822,"score_spread":0.2894158057923442,"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."}}