{"id":"W4411144372","doi":"10.1007/978-3-031-94959-3_19","title":"PetBuddy: An Examination of Augmented Reality Mobile Health Game for Promoting Physical Activity","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Augmented reality; Human–computer interaction; Multimedia","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":[0.0007751468,0.0006096509,0.0003139964,0.0007798103,0.0004380272,0.001540654,0.000689647,0.0005700163,0.005143626],"category_scores_gemma":[0.001562669,0.0002347877,0.0002653732,0.000375447,0.0003418319,0.001206333,0.0008306911,0.0006494496,0.0008373804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005326432,"about_ca_system_score_gemma":0.0008827342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005312225,"about_ca_topic_score_gemma":0.01280793,"domain_scores_codex":[0.9996091,0.0001120455,0.00001674034,0.00004922897,0.0001818224,0.00003111688],"domain_scores_gemma":[0.9995475,0.0002628584,0.00002102541,0.00002058269,0.0001155614,0.00003239458],"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":[0.001756857,0.001195252,0.006037499,0.002175372,0.00006673795,0.0006166506,0.004637182,0.001928065,0.03878045,0.0209694,0.03208994,0.8897465],"study_design_scores_gemma":[0.0002813416,0.00868859,0.06825703,0.003051365,0.0004252882,0.005372049,0.007860401,0.02652379,0.04987677,0.006142555,0.8232961,0.0002246997],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5547709,0.02494033,0.08612134,0.004204689,0.000956825,0.002284781,0.002118292,0.003562581,0.3210402],"genre_scores_gemma":[0.5844438,0.0199445,0.1863733,0.002290831,0.000131676,0.0009105761,0.00171021,0.0008806689,0.2033145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005312225,"threshold_uncertainty_score":0.01720709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0293562419839548,"score_gpt":0.3279125471127836,"score_spread":0.2985563051288288,"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."}}