{"id":"W2518617243","doi":"10.5325/jinfopoli.4.2014.0028","title":"End User Privacy and Policy-Based Networking","year":2014,"lang":"en","type":"article","venue":"Journal of Information Policy","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario College of Art and Design","funders":"","keywords":"Internet privacy; Privacy policy; Business; Information privacy; Computer science; Computer security","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":[0.0005512752,0.0000892435,0.000146118,0.0004459773,0.00009359622,0.0002500025,0.0003775278,0.00004748406,0.00000414697],"category_scores_gemma":[0.0001894938,0.00007289954,0.00005871365,0.0003758588,0.00002865533,0.001780722,0.00005512241,0.0001442483,0.00001551995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005197798,"about_ca_system_score_gemma":0.0003446555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001876995,"about_ca_topic_score_gemma":8.457069e-7,"domain_scores_codex":[0.9989856,0.0000555347,0.0004706277,0.00004593204,0.0002553406,0.0001869442],"domain_scores_gemma":[0.9988658,0.0001280274,0.000506121,0.0001685569,0.0001842678,0.0001472094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001200464,0.00000820552,0.0004145667,0.00001025538,0.00001148164,5.419467e-7,0.0004900391,0.005503187,0.000004115342,0.1745114,0.002180211,0.816854],"study_design_scores_gemma":[0.001574668,0.000166387,0.006454497,0.00006246372,0.000008089457,0.0001131545,0.00001480266,0.4379841,0.00003801937,0.003833337,0.5496031,0.0001473793],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007417139,0.00006422452,0.9720824,0.01658104,0.0002943039,0.00006160056,5.439936e-7,0.00004049132,0.003458236],"genre_scores_gemma":[0.979957,0.00003734084,0.0106652,0.007888775,0.001410257,0.000001213949,6.624756e-7,0.000003128547,0.00003645957],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9725398,"threshold_uncertainty_score":0.2972757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005879436312157326,"score_gpt":0.2299736270481267,"score_spread":0.2240941907359693,"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."}}