{"id":"W2981231155","doi":"","title":"Evaluating Long-term MOOC Impact: A Case Study of TEL MOOC","year":2019,"lang":"en","type":"article","venue":"Open Research Online (The Open University)","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Term (time); Massive open online course; Digital preservation; Computer science; Mathematics education; Psychology; Library science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01313758,0.0006080223,0.0005973669,0.002028977,0.005820799,0.003912911,0.002180071,0.002760904,0.003119454],"category_scores_gemma":[0.02858721,0.0003028414,0.0007134788,0.001875493,0.003135694,0.002676476,0.003470763,0.002823785,0.0008638308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005878165,"about_ca_system_score_gemma":0.003967055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01149438,"about_ca_topic_score_gemma":0.02894478,"domain_scores_codex":[0.9894574,0.006607258,0.0003738097,0.0005033665,0.001869258,0.001188825],"domain_scores_gemma":[0.9681942,0.01723196,0.001848251,0.001591568,0.006714007,0.004419982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001370633,0.0333829,0.1256543,0.0022963,0.0002996063,0.03575608,0.502727,0.008318907,0.01382101,0.01362803,0.01115,0.2515953],"study_design_scores_gemma":[0.0004975983,0.01461781,0.1558689,0.001616098,0.0002873196,0.005930829,0.6912388,0.01606023,0.01839017,0.008697504,0.08643874,0.000356069],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872342,0.0001871041,0.00246429,0.00106878,0.00004384674,0.0005874645,0.0001232526,0.00003093456,0.00826006],"genre_scores_gemma":[0.9878087,0.0003520897,0.005771994,0.000360435,0.00004149699,0.0004107573,0.0001333106,0.00005692401,0.005064317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01313758,"threshold_uncertainty_score":0.06947899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2545473672438019,"score_gpt":0.5123269434307813,"score_spread":0.2577795761869794,"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."}}