{"id":"W2939055072","doi":"10.1080/17439884.2019.1602541","title":"More than access: MOOCs and changes in Chinese higher education","year":2019,"lang":"en","type":"article","venue":"Learning Media and Technology","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Haridus- ja Teadusministeerium; Beijing Normal University; University College London","keywords":"Political science; Medical education; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001015454,0.00009584315,0.0001502556,0.0004008465,0.00004144459,0.00006315181,0.0002883975,0.000144985,0.00001115027],"category_scores_gemma":[0.0001044711,0.00008008679,0.000008080019,0.0006095484,0.00006320307,0.0001450343,0.0002674158,0.0003989663,0.00001146815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008804223,"about_ca_system_score_gemma":0.00003232023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002937504,"about_ca_topic_score_gemma":0.00003807491,"domain_scores_codex":[0.9993637,0.0000269234,0.00008284849,0.0002771828,0.00007801743,0.0001713943],"domain_scores_gemma":[0.9996174,0.0000725138,0.00005723609,0.0001892386,0.00002686874,0.00003674565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001097619,0.00002067317,0.9218922,0.00002008637,0.000003615523,0.000003614347,0.0004117258,0.0000202373,0.0002943616,0.01150909,0.00001600612,0.06580735],"study_design_scores_gemma":[0.000661871,0.0002140851,0.9161239,0.0001375337,0.000008573328,0.00004920113,0.0004619247,0.02703316,0.0001408119,0.03785456,0.01695783,0.0003566034],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9527019,0.0007039527,0.00008346148,0.04571459,0.0002494183,0.00005381932,1.319223e-7,0.0001921532,0.0003005864],"genre_scores_gemma":[0.9967313,0.0002167007,0.001285285,0.0001595745,0.00006030155,0.000007013508,0.000003114772,0.000007275337,0.001529372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06545075,"threshold_uncertainty_score":0.3265844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006975195919177394,"score_gpt":0.275879528123011,"score_spread":0.2689043322038336,"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."}}