{"id":"W1979973568","doi":"10.1109/hicss.2012.620","title":"Understanding User's Behaviors in Coping with Security Threat of Mobile Devices Loss and Theft","year":2012,"lang":"en","type":"article","venue":"","topic":"Information and Cyber Security","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Mobile device; Computer security; Internet privacy; Mobile computing; Computer science; Mobile telephony; Coping (psychology); Mobile radio; Telecommunications; World Wide Web; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002390497,0.00006988928,0.0001029369,0.0000698417,0.00005032519,0.00004656467,0.0001590674,0.00003247394,0.00001913095],"category_scores_gemma":[0.000001714525,0.00005145032,0.00001216939,0.0001782351,0.00004813804,0.001322948,0.00009512351,0.00006585068,0.00000241394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003747334,"about_ca_system_score_gemma":0.000018404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001160703,"about_ca_topic_score_gemma":0.0003829241,"domain_scores_codex":[0.9994373,0.00002101327,0.0001476954,0.00008334025,0.0001384183,0.0001722144],"domain_scores_gemma":[0.9996836,0.00003197036,0.00006169841,0.0001486143,0.00002035804,0.00005371288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004854218,0.00006133084,0.526379,0.00004051801,0.00000521073,0.000001252732,0.02368119,0.00001583987,0.00001068047,0.4495426,0.00004268427,0.0002148579],"study_design_scores_gemma":[0.008869078,0.001271327,0.8211942,0.0008364227,0.00009408146,0.0004238587,0.05942788,0.03506266,0.03599801,0.02503764,0.008644039,0.003140745],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9242046,0.00008664447,0.0692732,0.00008086274,0.00005299424,0.0001361241,8.56752e-7,0.00004129095,0.006123401],"genre_scores_gemma":[0.9981834,0.00001178551,0.001640051,0.0001412705,0.000005767486,0.000005282015,6.643933e-7,0.000002163277,0.00000960868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4245049,"threshold_uncertainty_score":0.2098083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03352936883506695,"score_gpt":0.2615563224282637,"score_spread":0.2280269535931967,"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."}}