{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06105503,0.001304065,0.001788453,0.003618301,0.01157936,0.03427032,0.00414092,0.03272041,0.007194391],"category_scores_gemma":[0.07526663,0.00130776,0.001535381,0.003989553,0.08351053,0.08461432,0.01299327,0.05278903,0.002801392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01149426,"about_ca_system_score_gemma":0.01895487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006321894,"about_ca_topic_score_gemma":0.003362346,"domain_scores_codex":[0.9465109,0.03144968,0.002231084,0.004334136,0.01287361,0.002600674],"domain_scores_gemma":[0.8557291,0.1040544,0.005140976,0.01476827,0.01360849,0.006698906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001872333,0.00004307501,0.0002707611,0.0001462195,0.000008447937,0.00007725571,0.002536825,0.0002706641,0.0001067746,0.9282144,0.03585484,0.032452],"study_design_scores_gemma":[0.00001511049,0.00004086105,0.0002480605,0.001395211,0.00001097265,0.0001502253,0.002507884,0.000663774,0.0001503623,0.6784806,0.3162808,0.00005625885],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001618173,0.03423188,0.01591588,0.9150047,0.004831208,0.00003071892,0.00007234831,0.0001324859,0.02816257],"genre_scores_gemma":[0.2996804,0.1367502,0.05800169,0.4186615,0.05316716,0.0005419072,0.0003925325,0.0005249806,0.03227966],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06105503,"threshold_uncertainty_score":0.3228937,"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."}}