{"id":"W4230866522","doi":"10.22215/etd/2013-10044","title":"Do malware warnings reduce the likelihood of installing bad software? The case of the Trojan Horse","year":2013,"lang":"en","type":"dissertation","venue":"","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Trojan horse; Malware; Installation; Computer security; Software; Computer science; Trojan; Internet privacy","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":[0.004618602,0.0003760366,0.0003316616,0.000540052,0.0006905638,0.001050572,0.0004977023,0.00119512,0.00186979],"category_scores_gemma":[0.04974301,0.0004122145,0.000431706,0.0002727744,0.001615704,0.001843393,0.0007154428,0.00151318,0.0002374942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005964413,"about_ca_system_score_gemma":0.0006631532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002425439,"about_ca_topic_score_gemma":0.00358379,"domain_scores_codex":[0.9965968,0.002396393,0.00006379709,0.0002828737,0.0004889116,0.0001712917],"domain_scores_gemma":[0.9565961,0.03228238,0.006493841,0.001815748,0.001587679,0.001224236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003914945,0.005820052,0.5619379,0.0009923334,0.001002046,0.001308349,0.04692595,0.002219455,0.02397442,0.01387528,0.008505213,0.3295241],"study_design_scores_gemma":[0.0003282595,0.004244464,0.9497668,0.0002798017,0.0007003056,0.00054972,0.01131172,0.004372636,0.008601408,0.009686681,0.01007353,0.00008474688],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849451,0.0006776346,0.0007338469,0.004729102,0.00003067784,0.00002802607,0.00001401865,0.00001441683,0.008827213],"genre_scores_gemma":[0.9973149,0.0004346908,0.001107158,0.000539352,0.00002353177,0.00002026129,0.000007369853,0.000006623175,0.0005460919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004618602,"threshold_uncertainty_score":0.0244258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03883709423233764,"score_gpt":0.3808704838527885,"score_spread":0.3420333896204508,"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."}}