{"id":"W1539130850","doi":"10.32920/22227778.v1","title":"Two Notions of Privacy Online","year":2023,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Personally identifiable information; Internet privacy; Dignity; Privacy policy; Control (management); Information privacy; Legislation; Privacy by Design; Business; Computer science; Political science; Computer security; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003462954,0.00003438745,0.00006135901,0.00007779357,0.0002147572,0.00001683014,0.0002701201,0.00003313671,0.0003863734],"category_scores_gemma":[0.0007355752,0.00003198496,0.00003244102,0.0005766106,0.00009221085,0.000182448,0.0001613393,0.00005512261,0.0002002578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001951308,"about_ca_system_score_gemma":0.00007193852,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00792709,"about_ca_topic_score_gemma":0.006234695,"domain_scores_codex":[0.9994123,0.00005872088,0.0001063067,0.00009706198,0.0001853471,0.0001402472],"domain_scores_gemma":[0.9996144,0.00005646109,0.00003262694,0.000195146,0.00005410612,0.00004729441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002554639,0.0006697363,0.01406927,0.00005583019,0.00004803187,0.000007670735,0.02990165,0.00003066711,0.005554619,0.7858918,0.1096895,0.05405568],"study_design_scores_gemma":[0.0009834681,0.0001076181,0.07152417,0.00003610488,0.00002959055,0.000001060889,0.01667458,0.001062167,0.002954518,0.2075241,0.6987323,0.0003703537],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8679995,0.00004977115,0.003406691,0.01962203,0.0009038968,0.0004660109,0.0001340404,0.0008330152,0.106585],"genre_scores_gemma":[0.9957524,0.0001398123,0.001335845,0.00007693688,0.0002461427,0.000005645143,0.00004889757,0.000003763021,0.002390564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5890428,"threshold_uncertainty_score":0.9986792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06790512053932285,"score_gpt":0.3743329627711843,"score_spread":0.3064278422318615,"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."}}