{"id":"W3162376348","doi":"10.1145/3411763.3451781","title":"PERMARUN- A Persuasive Game to Improve User Awareness and Self-Efficacy Towards Secure Smartphone Behaviour","year":2021,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Android (operating system); Computer science; Persuasive technology; Human–computer interaction; User experience design; Serious game; Internet privacy; Multimedia; Computer security; Persuasion; Psychology; Operating system","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":[0.001007479,0.0009775558,0.0003987436,0.000524964,0.0003488762,0.0008322729,0.0008430029,0.0005555032,0.004442677],"category_scores_gemma":[0.003588457,0.0002503099,0.0005104634,0.0001212348,0.0003560026,0.0008609048,0.001194423,0.0007405363,0.0006060639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002270299,"about_ca_system_score_gemma":0.0003817167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004798099,"about_ca_topic_score_gemma":0.001053183,"domain_scores_codex":[0.9994036,0.0002682701,0.00004475187,0.0000986079,0.0001101388,0.00007469533],"domain_scores_gemma":[0.998219,0.001208895,0.0001037407,0.00008327427,0.0001089313,0.0002761567],"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":[0.005791757,0.04436275,0.03497593,0.004627503,0.0004748882,0.001171504,0.01375987,0.008997865,0.1478632,0.01294096,0.01659914,0.7084346],"study_design_scores_gemma":[0.008671975,0.1048178,0.3026553,0.001764536,0.002444594,0.00399992,0.01134421,0.2131689,0.1366395,0.038958,0.1745263,0.001008891],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9300409,0.0003223084,0.04694202,0.0004927869,0.0001218824,0.00173447,0.0002114196,0.002531322,0.01760284],"genre_scores_gemma":[0.8869102,0.0002744985,0.1017556,0.0003382852,0.00002672211,0.001675084,0.00032788,0.0001048417,0.00858678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004442677,"threshold_uncertainty_score":0.0148623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0137641782799751,"score_gpt":0.2858258742189279,"score_spread":0.2720616959389528,"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."}}