{"id":"W1591332237","doi":"10.1080/09332480.2013.772391","title":"O Privacy, Where Art Thou?: Privacy Protection for the European Census Hub","year":2013,"lang":"en","type":"article","venue":"CHANCE","topic":"Government, Law, and Information Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Thou; Census; Internet privacy; Privacy protection; Information privacy; Business; Computer science; Sociology; Demography; Philosophy; Theology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01012849,0.0002040068,0.0004457333,0.001287746,0.006961356,0.01466906,0.001209303,0.007481551,0.01340478],"category_scores_gemma":[0.03906025,0.0004108405,0.0005534358,0.003831408,0.007494603,0.01128604,0.006461555,0.004521114,0.0013067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006048884,"about_ca_system_score_gemma":0.01794969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09522293,"about_ca_topic_score_gemma":0.1091374,"domain_scores_codex":[0.9918327,0.004368704,0.000303394,0.0007050029,0.001254861,0.001535305],"domain_scores_gemma":[0.9880219,0.006433492,0.001035772,0.001720799,0.001177593,0.001610443],"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":[0.00005514567,0.00001884216,0.004904576,0.0000426045,0.00001181988,0.0001447753,0.00346187,0.0004647704,0.000106333,0.9144448,0.04922898,0.0271155],"study_design_scores_gemma":[0.00003135373,0.00004030363,0.01361475,0.0007868783,0.00003073167,0.0002866659,0.01185545,0.001720213,0.0007568093,0.3409595,0.6298075,0.0001098602],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09457382,0.008588642,0.02040048,0.3637009,0.001878358,0.0001008868,0.001782489,0.0002015302,0.5087729],"genre_scores_gemma":[0.8816862,0.004323409,0.00491095,0.03595953,0.0008977245,0.00009071388,0.0004251664,0.000173283,0.07153309],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09522293,"threshold_uncertainty_score":0.1893373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04384985239859651,"score_gpt":0.2795634967940705,"score_spread":0.235713644395474,"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."}}