{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001439887,0.0002530543,0.0002226275,0.004243339,0.004544867,0.005316854,0.0006453589,0.0007865267,0.003659485],"category_scores_gemma":[0.003668356,0.0001288305,0.0002640064,0.004212533,0.007803784,0.005191466,0.004002897,0.001243769,0.00009731416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0104171,"about_ca_system_score_gemma":0.004722554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.078943,"about_ca_topic_score_gemma":0.05011944,"domain_scores_codex":[0.9983999,0.0002746465,0.00008577343,0.0002034945,0.0005910921,0.0004450892],"domain_scores_gemma":[0.9980788,0.0005513693,0.0004283723,0.0001359863,0.0002726448,0.0005328325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001846879,0.0001898886,0.1691573,0.0003444305,0.00004167717,0.001481626,0.5781195,0.0004348544,0.002933975,0.1474129,0.002720752,0.09697848],"study_design_scores_gemma":[0.0000256411,0.0001295389,0.5709604,0.0002369957,0.00004870738,0.0002807524,0.3279873,0.001835761,0.001145278,0.01886702,0.07838777,0.00009478476],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9584194,0.001099007,0.0004714451,0.003241386,0.00008508778,0.0000444394,0.00005799838,0.00002136256,0.03655989],"genre_scores_gemma":[0.9983909,0.0001734578,0.00004798461,0.00009644452,0.00002765678,0.000006919506,0.00001738736,0.00000394867,0.001235364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.078943,"threshold_uncertainty_score":0.156967,"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."}}