{"id":"W3104596749","doi":"10.2196/19968","title":"Effects of a Personalized Fitness Recommender System Using Gamification and Continuous Player Modeling: System Design and Long-Term Validation Study","year":2020,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Educational Games and Gamification","field":"Psychology","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Carleton University; University of Toronto","funders":"","keywords":"Recommender system; Computer science; Wearable computer; Term (time); Multimedia; Personalization; Human–computer interaction; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003173937,0.0002068481,0.0003868518,0.00009353512,0.00009301009,0.00006656414,0.0001079347,0.0001171425,0.00000979509],"category_scores_gemma":[0.00002735902,0.0002002954,0.00003692653,0.0001687865,0.00004052571,0.0001167346,0.00003096726,0.0001026658,0.000005980417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007391445,"about_ca_system_score_gemma":0.00003470789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005261768,"about_ca_topic_score_gemma":0.000001067213,"domain_scores_codex":[0.9982145,0.0004854683,0.0004395166,0.0004875259,0.0001882973,0.000184664],"domain_scores_gemma":[0.9990129,0.0001896704,0.0003121578,0.0002161763,0.0001567697,0.0001122625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.005331526,0.004459045,0.2853496,0.02096399,0.002834617,0.0001517076,0.4723621,0.005090632,0.1162043,0.01976041,0.0008939903,0.06659808],"study_design_scores_gemma":[0.01035409,0.002120973,0.5707921,0.001270106,0.001135505,0.0003316753,0.112894,0.2972251,0.002441405,0.00003524429,0.0001243114,0.001275437],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9451106,0.00130635,0.05060735,0.0001993003,0.0002511562,0.002374831,0.000005487728,0.0001040472,0.00004091602],"genre_scores_gemma":[0.9986882,0.00001850162,0.0006168156,0.00004333743,0.0001060554,0.0004033739,0.00002043027,0.0000364413,0.00006691214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3594681,"threshold_uncertainty_score":0.8167809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05732695633057999,"score_gpt":0.333739141124369,"score_spread":0.276412184793789,"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."}}