{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001558914,0.0002033418,0.0002139928,0.0006711589,0.001048092,0.003634125,0.0003919502,0.001444476,0.01007155],"category_scores_gemma":[0.009711182,0.0003221339,0.0002428174,0.0004730282,0.001362587,0.003761155,0.001430446,0.001571956,0.0006723955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007943056,"about_ca_system_score_gemma":0.0006343346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001175318,"about_ca_topic_score_gemma":0.001293919,"domain_scores_codex":[0.9986485,0.0007364221,0.00004347412,0.00008680312,0.0003197824,0.0001651182],"domain_scores_gemma":[0.9917033,0.006407074,0.0004580676,0.0005147079,0.0003990451,0.0005178773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0006193672,0.0002318489,0.012048,0.00008621681,0.00002097708,0.0004976983,0.007664512,0.001750083,0.005130484,0.9373361,0.003355113,0.03125961],"study_design_scores_gemma":[0.0001439306,0.0002638716,0.02540706,0.0002003702,0.00007102774,0.002296238,0.01714362,0.08309447,0.007288978,0.8276149,0.03637864,0.00009690969],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6303477,0.0006765517,0.03263549,0.003512571,0.00003765184,0.00007098857,0.0001955731,0.0001367875,0.3323866],"genre_scores_gemma":[0.9939684,0.00008521284,0.001471979,0.00005426256,0.00001218375,0.00001247709,0.00002663844,0.00002138153,0.004347358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01007155,"threshold_uncertainty_score":0.03369266,"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."}}