{"id":"W2139418642","doi":"","title":"The Future of Privacy Policies: A Privacy Nutrition Label Filled With Fair Information Practices","year":2009,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Privacy policy; Internet privacy; Information privacy; Business; FTC Fair Information Practice; Personally identifiable information; Identity theft; Consumer privacy; Privacy law; Commission; Privacy laws of the United States; Information sensitivity; Quarter (Canadian coin); Computer security; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007190653,0.0001046743,0.000122055,0.0000832404,0.0008858746,0.0002636031,0.0005785538,0.0001100814,0.00004137833],"category_scores_gemma":[0.001128319,0.00006603385,0.00003448047,0.0005172177,0.0001436447,0.003147419,0.00007752429,0.0001634099,0.00002038451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006985519,"about_ca_system_score_gemma":0.0001856209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002135477,"about_ca_topic_score_gemma":0.001286087,"domain_scores_codex":[0.9986996,0.0001633265,0.0002697026,0.0001153827,0.0004970127,0.000254967],"domain_scores_gemma":[0.9985631,0.0001461502,0.0005694204,0.0003755893,0.0002743962,0.00007136436],"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":[0.00122018,0.001205572,0.00110601,0.0001886517,0.00009597986,0.0000016611,0.122591,0.000003476332,0.0008592532,0.5567359,0.1014633,0.214529],"study_design_scores_gemma":[0.001040636,0.0003649756,0.003633427,0.00004045755,0.00002058811,0.000003263925,0.02757878,0.00006854381,0.0006653178,0.01765071,0.9487749,0.0001583558],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5425501,0.002026004,0.007269663,0.3032355,0.0007830517,0.005678528,0.0000811608,0.0008917134,0.1374842],"genre_scores_gemma":[0.9929124,0.002561715,0.002948875,0.0006636274,0.0005702616,0.0000451911,0.00003842182,0.000004537078,0.0002549489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8473117,"threshold_uncertainty_score":0.6813521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02116445536922988,"score_gpt":0.3147879076890275,"score_spread":0.2936234523197976,"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."}}