{"id":"W4221001939","doi":"10.1186/s40561-022-00194-x","title":"The effects of personalized gamification on students’ flow experience, motivation, and enjoyment","year":2022,"lang":"en","type":"article","venue":"Smart Learning Environments","topic":"Educational Games and Gamification","field":"Psychology","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Personalization; Psychology; Perception; Big Five personality traits; Personality; Human–computer interaction; Cognitive psychology; Applied psychology; Social psychology; Computer science; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002942482,0.00008247102,0.00007564479,0.00004065149,0.0004256761,0.00001523481,0.0001580252,0.00002196284,0.0003267823],"category_scores_gemma":[0.00009397836,0.00007082622,0.00002762935,0.0000759484,0.0001017144,0.00002573803,0.00006486287,0.0001616289,0.00002998106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008072815,"about_ca_system_score_gemma":0.000005699252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001144946,"about_ca_topic_score_gemma":1.966592e-7,"domain_scores_codex":[0.9987625,0.0003010544,0.0001685938,0.0002339984,0.0004071745,0.0001266427],"domain_scores_gemma":[0.9992339,0.000363507,0.0001555077,0.000209707,0.000005837733,0.00003155307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000232218,0.001256639,0.8677057,0.00002380291,0.0001719885,0.000001762503,0.06369311,0.00110136,0.01053292,0.008677375,0.001590144,0.04501299],"study_design_scores_gemma":[0.0004327312,0.0002151773,0.8139927,0.000005418967,0.000009749482,0.000001186751,0.004378119,0.0000533273,0.000169517,0.00005078199,0.1806294,0.0000619262],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977118,0.0003613392,0.0002229498,0.0003236409,0.0004600422,0.0003063349,0.000001909854,0.00001136147,0.0006006015],"genre_scores_gemma":[0.9797186,0.00009751292,0.00004261149,0.0001241208,0.00002874117,0.0005025056,0.00003997913,0.00001275464,0.01943322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1790392,"threshold_uncertainty_score":0.3578037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01278841705972427,"score_gpt":0.2837579929803213,"score_spread":0.270969575920597,"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."}}