{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007998633,0.0002870024,0.0002025232,0.0005428728,0.0004253796,0.00127971,0.0002211198,0.0006896947,0.001047487],"category_scores_gemma":[0.005678994,0.0001827199,0.0003087105,0.0002277958,0.0004150134,0.001011631,0.0004459866,0.0006646683,0.0002006576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003067717,"about_ca_system_score_gemma":0.0003278361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002850342,"about_ca_topic_score_gemma":0.003434079,"domain_scores_codex":[0.999474,0.0002518876,0.00002997572,0.00004560163,0.0001062637,0.00009228128],"domain_scores_gemma":[0.9968566,0.0013848,0.0009583991,0.0001300254,0.0003580466,0.0003121209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000286025,0.00116969,0.9008036,0.000119819,0.0001100481,0.0003296026,0.04378744,0.001459838,0.009956271,0.001022766,0.0004459477,0.040509],"study_design_scores_gemma":[0.0000132928,0.0005871658,0.9494709,0.0000472873,0.00007780887,0.000322415,0.03545101,0.01073777,0.001341213,0.0006521922,0.001251728,0.00004707291],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978772,0.00004090166,0.0006497234,0.0001416404,0.000002143966,0.00001486066,0.00001235831,0.000009145562,0.00125196],"genre_scores_gemma":[0.9994229,0.00004427368,0.0003250016,0.00003188533,0.000001064217,0.000006029584,0.00001405784,0.000001073428,0.0001537102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002850342,"threshold_uncertainty_score":0.005667508,"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."}}