{"id":"W4415870527","doi":"10.1145/3757232.3757249","title":"Who Wants to Be Cybersecure? Expert Evaluation of a Culturally Adaptive Gamified Cybersecurity Awareness App","year":2025,"lang":"","type":"article","venue":"","topic":"Information and Cyber Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Dalhousie University; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Credibility; Relevance (law); Perception; Cultural diversity; Data breach; Subject-matter expert","routes":{"ca_aff":true,"ca_fund":true,"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":[0.008706149,0.000609325,0.0004116462,0.0005090124,0.0008439738,0.001220169,0.0008414435,0.001141279,0.002903347],"category_scores_gemma":[0.01680697,0.0002508369,0.0004583597,0.0001680506,0.0008712959,0.001044106,0.001303689,0.0007753093,0.000483245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006463259,"about_ca_system_score_gemma":0.00131314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001372177,"about_ca_topic_score_gemma":0.003457241,"domain_scores_codex":[0.995832,0.002585257,0.0003256564,0.0002729273,0.0005882927,0.0003958959],"domain_scores_gemma":[0.9903793,0.006276886,0.0003320186,0.0003981851,0.00196588,0.000647781],"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":[0.01399353,0.07694773,0.09161311,0.0107935,0.0004226466,0.006416574,0.1750776,0.007683923,0.06843453,0.003956576,0.01189831,0.532762],"study_design_scores_gemma":[0.008048388,0.1649931,0.2090157,0.008481568,0.002319497,0.007195604,0.229697,0.04413655,0.1325934,0.006606188,0.1858687,0.001044208],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897573,0.000122125,0.002665095,0.0002886243,0.00003662992,0.002245842,0.0000843282,0.00005496904,0.004745043],"genre_scores_gemma":[0.9626878,0.0004777488,0.02760315,0.0007519262,0.00002026458,0.00377217,0.0002081757,0.00003974405,0.004438953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008706149,"threshold_uncertainty_score":0.0460431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0476289999256728,"score_gpt":0.3254937623812411,"score_spread":0.2778647624555682,"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."}}