{"id":"W2046112127","doi":"10.1109/msp.2012.123","title":"Privacy: Front and Center","year":2012,"lang":"en","type":"article","venue":"IEEE Security & Privacy","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Ontario","funders":"","keywords":"Internet privacy; Privacy law; Information privacy; Privacy policy; Business; Personally identifiable information; Government (linguistics); Commission; Officer; Computer security; Political science; Computer science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009389068,0.001044556,0.0008353995,0.001591391,0.01572775,0.03292975,0.00195484,0.01597676,0.07265007],"category_scores_gemma":[0.0190781,0.0006347833,0.0008085157,0.001845595,0.01854758,0.03710982,0.01493189,0.02401023,0.02582381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009382245,"about_ca_system_score_gemma":0.01052064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00545879,"about_ca_topic_score_gemma":0.004693295,"domain_scores_codex":[0.9871258,0.003260993,0.0004178109,0.002135438,0.004985932,0.002073891],"domain_scores_gemma":[0.9877903,0.004221335,0.0005001909,0.001610735,0.003124563,0.002752743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002437602,0.00002310222,0.0002072382,0.00006652803,0.000006078333,0.0001048059,0.002078205,0.00004543918,0.000140739,0.4654739,0.4761977,0.05563176],"study_design_scores_gemma":[0.000005337399,0.000009297649,0.0001073844,0.0001270996,0.000003172254,0.00008314881,0.001126137,0.00005967331,0.0000998631,0.03731495,0.9610541,0.000009844223],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.00160137,0.0139988,0.0112968,0.5801726,0.01931946,0.00008111943,0.0001840671,0.0004594747,0.3728864],"genre_scores_gemma":[0.1163784,0.01838665,0.005663159,0.4298664,0.02563571,0.0002322703,0.0003029472,0.000877203,0.4026572],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07265007,"threshold_uncertainty_score":0.2430387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02997790897844795,"score_gpt":0.3053867629363096,"score_spread":0.2754088539578617,"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."}}