{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003059506,0.0006842107,0.0009010438,0.0006430995,0.0005445692,0.0004444893,0.00201988,0.000426774,0.0007296329],"category_scores_gemma":[0.0004080219,0.0006352415,0.0003893482,0.002713512,0.000228262,0.002316749,0.001054057,0.0004373712,0.0001431627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006134443,"about_ca_system_score_gemma":0.002312965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001686763,"about_ca_topic_score_gemma":0.001299742,"domain_scores_codex":[0.9929528,0.0007570366,0.001673211,0.001094218,0.002651713,0.0008709686],"domain_scores_gemma":[0.9928921,0.0001309034,0.0005649157,0.001511727,0.004506999,0.0003933813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002935764,0.0006672463,0.0001029924,0.0001427016,0.0003645606,0.000004452225,0.2200754,0.001197073,0.0004812464,0.6466722,0.05143282,0.07856569],"study_design_scores_gemma":[0.0043652,0.0003924558,0.005505472,0.0008281247,0.0002367307,0.00001225585,0.02141515,0.9124072,0.0319599,0.004785898,0.01669331,0.001398287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.214568,0.001612474,0.5023694,0.01110781,0.005811635,0.005602531,0.0001370806,0.0004702201,0.2583208],"genre_scores_gemma":[0.9846435,0.00009059686,0.00563117,0.007274008,0.00008013858,0.000174136,0.00002688832,0.00001503078,0.002064537],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9112102,"threshold_uncertainty_score":0.9996099,"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."}}