{"id":"W2137223451","doi":"10.1145/1077246.1077257","title":"Pervasive games","year":2005,"lang":"en","type":"article","venue":"Computers in entertainment","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":351,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Entertainment; Computer science; Augmented reality; Perspective (graphical); Game mechanics; Human–computer interaction; Metaverse; Field (mathematics); Multimedia; Virtual reality; Turns, rounds and time-keeping systems in games; Ubiquitous computing; Virtual world; Profit (economics); Video game design; Artificial intelligence; Mathematics; Political science; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001564278,0.0001308022,0.0001311947,0.0001268167,0.00005663284,0.00007671025,0.001010907,0.00003673364,0.00001422121],"category_scores_gemma":[0.00000591251,0.0001304977,0.00005878076,0.0002381807,0.00003997281,0.0002518304,0.0004255772,0.0001173458,0.0001343902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002987336,"about_ca_system_score_gemma":0.00002632738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001416058,"about_ca_topic_score_gemma":0.00002406202,"domain_scores_codex":[0.9987727,0.00005273223,0.0002627344,0.000392205,0.0002337495,0.0002858341],"domain_scores_gemma":[0.9991263,0.00007109394,0.00006380006,0.0006309693,0.00002105684,0.00008676467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008904251,0.001178476,0.003942877,0.00002853907,0.00006791707,0.00004405946,0.008508957,0.02933083,0.0005451398,0.2589056,0.01880011,0.6786386],"study_design_scores_gemma":[0.001527822,0.0001206725,0.0127933,0.0001185575,0.0000067738,0.0000462945,0.0002183591,0.8253191,0.002231933,0.005585392,0.1514842,0.0005475509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01187406,0.0001020999,0.9750376,0.009681345,0.0002208989,0.000269156,0.000001203099,0.0001404701,0.002673212],"genre_scores_gemma":[0.886978,0.0000398259,0.1101207,0.002548302,0.00008761697,0.00008551504,0.00000482274,0.000007875936,0.0001273316],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8751039,"threshold_uncertainty_score":0.5321543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009263893768644354,"score_gpt":0.243890407395248,"score_spread":0.2346265136266037,"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."}}