{"id":"W2242373529","doi":"10.1109/gem.2015.7377251","title":"Encouraging physical activity with a game-based mobile application: FitPet","year":2015,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Wearable computer; Human–computer interaction; Multimedia; Process (computing); Mobile computing; BitTorrent tracker; Reflection (computer programming); Simplicity; Game design; Mobile device; Wearable technology; Physical activity; Mobile telephony; Mobile radio; World Wide Web; Embedded system; Telecommunications; Artificial intelligence","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":[0.0002709357,0.0007738778,0.000289299,0.0005397632,0.0002604674,0.0008529193,0.0006370747,0.000941878,0.004161544],"category_scores_gemma":[0.001539448,0.0002044279,0.0004057851,0.0002131841,0.0002726512,0.0009006243,0.001095165,0.0004137515,0.001299381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000106982,"about_ca_system_score_gemma":0.0001896642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003369221,"about_ca_topic_score_gemma":0.0007652744,"domain_scores_codex":[0.9997957,0.00005688335,0.0000159201,0.00003984306,0.00006366801,0.00002789969],"domain_scores_gemma":[0.9996729,0.0001571259,0.00002887292,0.00002254408,0.00005571832,0.00006282984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00171042,0.002074672,0.01642716,0.002692454,0.0002249252,0.00213755,0.002093294,0.003564224,0.1787063,0.01154041,0.03358072,0.7452479],"study_design_scores_gemma":[0.0008449281,0.01306753,0.1077503,0.002110454,0.000957471,0.0219986,0.001838577,0.08763853,0.11338,0.01768403,0.6320636,0.0006660954],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3170399,0.002855901,0.609229,0.001903347,0.0008388542,0.002206041,0.0007548885,0.01139081,0.05378117],"genre_scores_gemma":[0.6376535,0.00185,0.3270924,0.001485672,0.0001353471,0.002058417,0.0008650003,0.0004663493,0.02839313],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004161544,"threshold_uncertainty_score":0.01392174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02297488831450086,"score_gpt":0.2937535024265607,"score_spread":0.2707786141120599,"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."}}