{"id":"W2803222797","doi":"10.1109/educon.2018.8363471","title":"Effect of personalized gameful design on student engagement","year":2018,"lang":"en","type":"article","venue":"","topic":"Educational Games and Gamification","field":"Psychology","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Personalization; Computer science; Human–computer interaction; World Wide Web","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008693946,0.0000733819,0.00009989947,0.00004999574,0.00003259945,0.000006629854,0.0001090565,0.00003345288,0.00803147],"category_scores_gemma":[0.00003667651,0.00005357416,0.00004268343,0.00007303915,0.00007135314,0.00001234808,0.00001046425,0.00005088975,0.001119446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002505338,"about_ca_system_score_gemma":0.00001142213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000172198,"about_ca_topic_score_gemma":9.555232e-7,"domain_scores_codex":[0.9990069,0.0004276114,0.0001341669,0.0001697475,0.0001574291,0.0001041077],"domain_scores_gemma":[0.9992046,0.0004216118,0.0000579354,0.000226436,0.00005803323,0.00003140112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.002545553,0.003270888,0.02170115,0.0000690328,0.0006955016,0.000003485802,0.07786662,0.00001990891,0.01046584,0.5478302,0.1517806,0.1837512],"study_design_scores_gemma":[0.005597803,0.02106814,0.6149164,0.0000823809,0.0001978918,0.000006702429,0.007491071,0.0000873883,0.07184087,0.0007329473,0.2774615,0.0005169003],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8816818,0.00009062161,0.006366846,0.0005467397,0.0007359868,0.0005017837,0.000001601721,0.0000329145,0.1100417],"genre_scores_gemma":[0.9792422,0.000003911714,0.0005766749,0.0003142136,0.0001719238,0.00008287666,0.000004150931,0.000007867335,0.01959615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5932153,"threshold_uncertainty_score":0.9996583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05792014232557153,"score_gpt":0.4161807474943731,"score_spread":0.3582606051688016,"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."}}