{"id":"W4383649767","doi":"10.1007/978-3-031-35822-7_28","title":"User Motivations of Secure Web Browsing","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; Carleton University","funders":"","keywords":"Computer science; Usability; Internet privacy; Anonymity; World Wide Web; Thematic analysis; Web navigation; Personally identifiable information; Perception; Computer security; The Internet; Human–computer interaction; Psychology; Qualitative research","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":[0.001205602,0.0002207081,0.0002953348,0.0006265839,0.0005745372,0.0001905196,0.001476211,0.0003498854,0.00006651961],"category_scores_gemma":[0.0009498107,0.0002223292,0.00009138275,0.0008419233,0.001247232,0.0004610602,0.0007437163,0.0005668958,0.00003966255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002236024,"about_ca_system_score_gemma":0.0008540127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006247341,"about_ca_topic_score_gemma":0.003919824,"domain_scores_codex":[0.997611,0.00005831539,0.0003425763,0.0006426762,0.0009299305,0.0004154416],"domain_scores_gemma":[0.998348,0.0004360581,0.0002369454,0.0006144084,0.0002598128,0.0001048028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003067806,0.0001398626,0.00191236,0.000318121,0.0000656488,0.00006492669,0.03687108,0.008912859,0.00125022,0.3908666,0.00157882,0.5579888],"study_design_scores_gemma":[0.0003891175,0.0001285864,0.0008744129,0.001112538,0.00003159614,0.000007095636,0.00001668777,0.01778677,0.001089615,0.9263659,0.05122885,0.0009688392],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009060038,0.000216511,0.9737231,0.002513912,0.003325112,0.0006919478,0.0000696459,0.0002725886,0.01828125],"genre_scores_gemma":[0.9097285,0.0007240479,0.07969567,0.001157657,0.003871457,0.00002482198,0.0000673504,0.0001211284,0.004609328],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9088225,"threshold_uncertainty_score":0.9066323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03455537224196031,"score_gpt":0.2915956422343093,"score_spread":0.257040269992349,"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."}}