{"id":"W1548939194","doi":"10.28945/2952","title":"Would Regulation of Web Site Privacy Policy Statements Increase Consumer Trust?","year":2006,"lang":"en","type":"article","venue":"Informing Science and IT Education Conference","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Columbia College","funders":"","keywords":"Privacy policy; Enforcement; Internet privacy; Information privacy; Personally identifiable information; Business; Privacy by Design; Trustworthiness; Statement (logic); Variance (accounting); Public relations; Computer security; Computer science; Political science; Accounting; Law","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":[0.001331143,0.00009241579,0.0001054149,0.0003822701,0.0007544473,0.0002731871,0.0004002236,0.00008752326,0.00009750212],"category_scores_gemma":[0.001905246,0.00009246929,0.00001664388,0.0009406405,0.0008555126,0.003122088,0.0001338131,0.0001138047,0.00002035788],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001733155,"about_ca_system_score_gemma":0.006302017,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03027539,"about_ca_topic_score_gemma":0.0009815773,"domain_scores_codex":[0.9985101,0.00004239236,0.0003225234,0.0002233052,0.0006237755,0.0002778672],"domain_scores_gemma":[0.9985028,0.00004254412,0.0002574632,0.0002666383,0.0007993005,0.0001312613],"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":[0.00006628475,0.0003801841,0.0920293,0.0001247591,0.000009102927,3.022251e-7,0.03923589,0.000006477319,0.02766293,0.5414115,0.01054606,0.2885272],"study_design_scores_gemma":[0.0008655898,0.0001350389,0.2188863,0.0002596391,0.00003332045,0.000006706324,0.01524384,0.001990741,0.008079784,0.07530687,0.6785408,0.0006513148],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9531719,0.00005062548,0.0002909791,0.004154763,0.0002833153,0.0003532964,0.00001892285,0.00003768632,0.0416385],"genre_scores_gemma":[0.9977611,0.0001680683,0.0005622918,0.0003793197,0.0001508045,0.00001975144,0.00002294381,0.000002928206,0.0009327691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6679948,"threshold_uncertainty_score":0.9993314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03210954004740832,"score_gpt":0.364646539076874,"score_spread":0.3325369990294657,"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."}}