{"id":"W2624878291","doi":"10.19173/irrodl.v18i4.3025","title":"Evaluating NTU’s OpenCourseWare Project with Google Analytics: User Characteristics, Course Preferences, and Usage Patterns","year":2017,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Analytics; Learning Management; Open educational resources; Learning analytics; License; World Wide Web; Knowledge management; Data science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00255559,0.0002668229,0.0002543782,0.002070819,0.0009365255,0.001442134,0.0004771167,0.0003243081,0.001526115],"category_scores_gemma":[0.006764811,0.000174555,0.0002978849,0.001797125,0.0003796818,0.00139061,0.001344612,0.0003825752,0.0009179644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007649835,"about_ca_system_score_gemma":0.0008548318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0139968,"about_ca_topic_score_gemma":0.02707097,"domain_scores_codex":[0.9986455,0.0004764602,0.000106941,0.0001391595,0.0004327476,0.0001992695],"domain_scores_gemma":[0.9937919,0.002015398,0.000705924,0.0003285948,0.001759342,0.001398785],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005240985,0.002063362,0.8733411,0.0001841528,0.00004783104,0.0007454868,0.03061606,0.0005369487,0.003505487,0.0002784987,0.006392315,0.08176474],"study_design_scores_gemma":[0.00002928696,0.001163591,0.9458745,0.00005657346,0.00002446779,0.000313196,0.03616459,0.004515328,0.002913155,0.0001221028,0.008744124,0.00007924215],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982449,0.00001354313,0.0001475271,0.00003927702,0.00000232319,0.0000796362,0.0003307358,0.00003219994,0.001109766],"genre_scores_gemma":[0.9944631,0.00006487567,0.001823826,0.00004594981,0.000007917922,0.0002417108,0.001591734,0.0000390654,0.001721782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9974444,"threshold_uncertainty_score":0.02783066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2112705002516348,"score_gpt":0.5066034301544411,"score_spread":0.2953329299028063,"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."}}