{"id":"W2209202773","doi":"10.1007/978-3-319-24560-7_30","title":"Gamification of Exercise and Fitness using Wearable Activity Trackers","year":2015,"lang":"en","type":"book-chapter","venue":"Advances in intelligent systems and computing","topic":"Educational Games and Gamification","field":"Psychology","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Wearable computer; Activity tracker; Computer science; Human–computer interaction; BitTorrent tracker; Wearable technology; Physical activity; Field (mathematics); Multimedia; Artificial intelligence; Embedded system; Medicine; Physical medicine and rehabilitation; Eye tracking","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003454183,0.0009147235,0.0003895779,0.0005093534,0.000126068,0.001128444,0.0007360718,0.000575189,0.006777877],"category_scores_gemma":[0.0007538595,0.0001996891,0.0003830379,0.0004095935,0.0002351681,0.001048601,0.0009615687,0.0006385493,0.001645546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001643689,"about_ca_system_score_gemma":0.0001647777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005053133,"about_ca_topic_score_gemma":0.001282286,"domain_scores_codex":[0.9998566,0.00004072871,0.000005525637,0.00002839169,0.00005378483,0.00001501314],"domain_scores_gemma":[0.9998485,0.000108138,0.000006573629,0.00001115828,0.00001471033,0.00001094254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002067042,0.0003791556,0.001703143,0.0006023006,0.00007309297,0.0001350811,0.0006473137,0.005128566,0.009021374,0.03055503,0.01020473,0.9413435],"study_design_scores_gemma":[0.000257076,0.001529617,0.04116299,0.003640591,0.000397197,0.003130654,0.002346559,0.2413123,0.04155895,0.2277964,0.436613,0.0002546685],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.08731642,0.02594385,0.6149429,0.001147104,0.000558624,0.0003526592,0.0004921332,0.002306879,0.2669394],"genre_scores_gemma":[0.4602405,0.0283945,0.3320614,0.0004525411,0.000196197,0.0006509967,0.0006994233,0.0002820721,0.1770222],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.006777877,"threshold_uncertainty_score":0.02267426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07001441452931667,"score_gpt":0.3585951125128858,"score_spread":0.2885806979835692,"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."}}