{"id":"W4384636198","doi":"10.2196/42878","title":"Dimensions of Interactive Pervasive Game Design: Systematic Review","year":2023,"lang":"en","type":"review","venue":"JMIR Serious Games","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Categorization; Entertainment; Scopus; Game design; Systematic review; Game Developer; Service (business); Game mechanics; Selection (genetic algorithm); Multimedia; Data science; Artificial intelligence; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006460279,0.000560517,0.003790285,0.0003272677,0.00008080632,0.00008020969,0.00230752,0.0002213337,0.00001126186],"category_scores_gemma":[0.0004183601,0.0003750145,0.0008505745,0.001694068,0.00009777304,0.0002380993,0.0008358925,0.000455733,0.0009174446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002325811,"about_ca_system_score_gemma":0.0004934567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000145083,"about_ca_topic_score_gemma":0.000004635488,"domain_scores_codex":[0.9957386,0.0009406792,0.00164946,0.0007898738,0.0005010006,0.0003803328],"domain_scores_gemma":[0.9937792,0.001488091,0.001920751,0.002401356,0.0002606567,0.0001498842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[4.356459e-7,0.00007309302,5.412188e-9,0.9225855,0.0004525435,0.00002008468,0.0003213559,0.000003388181,5.469645e-7,0.0009961557,0.003825821,0.071721],"study_design_scores_gemma":[0.00005491415,0.00005857309,3.065528e-7,0.8362703,0.001425472,0.000145133,0.00003507708,0.0002345086,0.000002184504,0.0002723508,0.1610891,0.0004121116],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[3.843823e-8,0.9511979,0.03819764,0.0001785876,0.000195583,0.009724081,0.00005241373,0.0003646222,0.00008914635],"genre_scores_gemma":[0.000001234384,0.989684,0.001788733,0.0001310977,0.00002955959,0.007306375,0.00004304244,0.00006895521,0.0009470096],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1572633,"threshold_uncertainty_score":0.9998702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07335852846953154,"score_gpt":0.3788177418348033,"score_spread":0.3054592133652717,"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."}}