{"id":"W1994064368","doi":"10.1109/icmew.2012.91","title":"Exerlearn Bike: An Exergaming System for Children's Educational and Physical Well-Being","year":2012,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Modular design; Modalities; Human–computer interaction; Physical activity; Interface (matter); Computer science; Multimedia; Psychology; Physical education; Mathematics education; Physical medicine and rehabilitation; Medicine; Sociology","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":[0.0003525761,0.000584062,0.0004385533,0.0004833888,0.0002576205,0.0004025884,0.0006101822,0.0005083537,0.009050217],"category_scores_gemma":[0.0006596357,0.0002349191,0.0003333115,0.0001649497,0.0001772565,0.0005465015,0.001490459,0.0003247611,0.001725463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001353533,"about_ca_system_score_gemma":0.0004290217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007862542,"about_ca_topic_score_gemma":0.001930241,"domain_scores_codex":[0.9997869,0.00004382598,0.00002278655,0.00004780524,0.00007154481,0.00002723357],"domain_scores_gemma":[0.9998494,0.00003851848,0.00001314166,0.00001469953,0.00003542339,0.0000487639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00146391,0.001299119,0.01515682,0.002714121,0.0002107464,0.0009703866,0.00200548,0.002112287,0.1695954,0.003019747,0.02924362,0.7722084],"study_design_scores_gemma":[0.001687258,0.007519118,0.2490439,0.001125276,0.001145865,0.01017256,0.001573112,0.06671957,0.1763488,0.004599805,0.4792418,0.0008229396],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4907969,0.003419154,0.4168918,0.0009513555,0.0003910418,0.003719468,0.003412949,0.03484466,0.04557275],"genre_scores_gemma":[0.6843243,0.001626135,0.2621156,0.0004974537,0.00008504149,0.003710104,0.002949277,0.0008943089,0.04379794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009050217,"threshold_uncertainty_score":0.030276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109167051727738,"score_gpt":0.27768847177904,"score_spread":0.2665968012617626,"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."}}