{"id":"W7100285984","doi":"","title":"1 Do Companies ’ Online Privacy Policy Disclosures Match Customer Needs?","year":2008,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Privacy policy; Information privacy; Privacy by Design; Personally identifiable information; Openness to experience; Privacy software; FTC Fair Information Practice; Information privacy law","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":[0.007807754,0.0001534509,0.0002603467,0.00172862,0.001454271,0.004933936,0.0007779763,0.001817348,0.006029569],"category_scores_gemma":[0.05793001,0.0002260472,0.0002959052,0.003605651,0.001462771,0.007656551,0.001494996,0.001364782,0.001113042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005355729,"about_ca_system_score_gemma":0.006664413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06525645,"about_ca_topic_score_gemma":0.05586526,"domain_scores_codex":[0.9903435,0.003307059,0.0006257569,0.0005951008,0.003537172,0.001591602],"domain_scores_gemma":[0.9349558,0.02705896,0.02025357,0.002918222,0.01291804,0.00189539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001847726,0.0002376091,0.9076782,0.0002396779,0.0000441284,0.0002627599,0.01208179,0.0004573822,0.0007230974,0.006565126,0.005657528,0.06586791],"study_design_scores_gemma":[0.00002141553,0.0001218392,0.9025593,0.0003418576,0.00007644054,0.0005987598,0.05200784,0.002883018,0.001729173,0.004691737,0.03489101,0.00007749518],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9521647,0.0006497648,0.001463132,0.01327891,0.00002937154,0.00005975297,0.0007384319,0.00003929057,0.03157657],"genre_scores_gemma":[0.9978511,0.0001940474,0.0003765688,0.0006665828,0.00001100801,0.00001130465,0.0002219757,0.000008202287,0.0006591415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06525645,"threshold_uncertainty_score":0.1297532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05219536972215642,"score_gpt":0.3387010924660164,"score_spread":0.28650572274386,"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."}}