{"id":"W2734595044","doi":"10.1145/3099023.3099114","title":"Recommender Systems for Personalized Gamification","year":2017,"lang":"en","type":"article","venue":"","topic":"Educational Games and Gamification","field":"Psychology","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Computer science; Recommender system; Variety (cybernetics); Context (archaeology); Human–computer interaction; Data science; World Wide Web; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003208096,0.0008379323,0.001111461,0.00134374,0.0008126097,0.00202513,0.001441727,0.001867915,0.007330179],"category_scores_gemma":[0.008446489,0.000556337,0.001045241,0.001384824,0.0008904545,0.002779648,0.001808332,0.002538705,0.002438061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008057081,"about_ca_system_score_gemma":0.0009581412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005390146,"about_ca_topic_score_gemma":0.007696022,"domain_scores_codex":[0.9979272,0.001026428,0.0001156157,0.0004085815,0.0004150727,0.0001070487],"domain_scores_gemma":[0.9971948,0.001691353,0.0001530517,0.0004558809,0.0003741591,0.0001306238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002539703,0.0004093467,0.005399497,0.0009148003,0.0004494477,0.0003686524,0.001022337,0.1035883,0.003681006,0.4031689,0.01642941,0.4643144],"study_design_scores_gemma":[0.0001349117,0.0002567569,0.002780693,0.0003215842,0.0002612716,0.000413033,0.0002817277,0.5644445,0.001912189,0.3244165,0.1046329,0.0001438755],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02789311,0.01448961,0.9225947,0.003926007,0.0004210085,0.0003377547,0.0003094225,0.001965138,0.02806335],"genre_scores_gemma":[0.5094355,0.009607133,0.4618858,0.0007344336,0.0004060924,0.0005309284,0.0008315761,0.0001610672,0.01640749],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007330179,"threshold_uncertainty_score":0.02452189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1211049985890719,"score_gpt":0.4130554455560144,"score_spread":0.2919504469669424,"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."}}