{"id":"W2092604046","doi":"10.1145/1754239.1754275","title":"Analysis of social networking privacy policies","year":2010,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Information privacy; Internet privacy; Privacy policy; Privacy by Design; Computer science; Privacy software; Taxonomy (biology); Privacy protection; Social network (sociolinguistics); Computer security; Social media; World Wide Web","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":[0.0005944358,0.00005041134,0.0001441797,0.0001674699,0.0004811796,0.00005556628,0.0003740465,0.00009891046,0.0006277482],"category_scores_gemma":[0.0002672544,0.00004770753,0.000110131,0.0010679,0.0002045763,0.0001874085,0.0001485835,0.0001284221,0.00000866042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001660404,"about_ca_system_score_gemma":0.00005717244,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01456901,"about_ca_topic_score_gemma":0.02650136,"domain_scores_codex":[0.9992394,0.00007144134,0.000142329,0.0001157653,0.0002360193,0.0001950741],"domain_scores_gemma":[0.9995669,0.00005535161,0.00008569827,0.0001783947,0.00006664167,0.00004706442],"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":[0.00003021437,0.0002229507,0.1606023,0.00001550933,0.0007878754,9.627271e-7,0.1154967,0.000008087731,0.00603939,0.656949,0.01556706,0.04427999],"study_design_scores_gemma":[0.0002070738,0.00002165154,0.2021948,0.000002562154,0.0004887176,1.777303e-7,0.005568528,0.0007593549,0.000677806,0.01627679,0.773532,0.0002705741],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8741618,0.00002165857,0.001311107,0.003249134,0.0005031535,0.000137144,0.0000108002,0.0001193146,0.1204859],"genre_scores_gemma":[0.9983075,0.00002130635,0.000299186,0.0001009584,0.0008299457,0.000003355973,0.000009582716,0.000003049067,0.0004251164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.757965,"threshold_uncertainty_score":0.9919931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03276179058290612,"score_gpt":0.3353315444500971,"score_spread":0.3025697538671909,"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."}}