{"id":"W50499970","doi":"","title":"UNDERSTANDING EMERGENCE AND OUTCOMES OF INFORMATION PRIVACY CONCERNS: A CASE OF FACEBOOK","year":2010,"lang":"en","type":"article","venue":"International Conference on Information Systems","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Internet privacy; Context (archaeology); Information privacy; Privacy policy; Personally identifiable information; Computer science; Privacy by Design; Social media; Privacy software; Information sensitivity; Process (computing); World Wide Web; Computer security","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":[0.007092613,0.0003162749,0.0002945701,0.001490063,0.005213271,0.004147559,0.0008228316,0.002005817,0.001212698],"category_scores_gemma":[0.01862444,0.0003489408,0.0003645553,0.001046296,0.00603464,0.008444824,0.00273928,0.002148062,0.0001346911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002903086,"about_ca_system_score_gemma":0.00126453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004835969,"about_ca_topic_score_gemma":0.006298282,"domain_scores_codex":[0.9942162,0.004448946,0.0001666279,0.0002579622,0.0005391329,0.0003711065],"domain_scores_gemma":[0.9669133,0.02813235,0.002438352,0.001331489,0.0006835822,0.0005009443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001763034,0.000190465,0.05313706,0.000123298,0.00001809958,0.00472951,0.8781521,0.0009576611,0.003322397,0.0428769,0.0004755972,0.01584065],"study_design_scores_gemma":[0.00003743564,0.0002110885,0.04764582,0.0001875277,0.00004117316,0.002357463,0.8738616,0.01725597,0.005252154,0.0323514,0.02071578,0.00008259371],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869998,0.00007358846,0.004647664,0.001521303,0.000006785104,0.00006592717,0.00002154222,0.00002284548,0.006640509],"genre_scores_gemma":[0.9985365,0.00005459268,0.001021803,0.00004905684,0.000004379445,0.00002885176,0.00001143958,0.000004174976,0.0002892081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007092613,"threshold_uncertainty_score":0.03750974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1370603186677143,"score_gpt":0.3659343908399925,"score_spread":0.2288740721722782,"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."}}