{"id":"W1973836649","doi":"10.1109/iit.2007.4430460","title":"A Hierarchical Approach to the Specification of Privacy Preferences","year":2007,"lang":"en","type":"article","venue":"","topic":"Access Control and Trust","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Schema (genetic algorithms); Dimension (graph theory); Information privacy; Task (project management); Private information retrieval; Information retrieval; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01711877,0.000950313,0.0009696785,0.001904934,0.002516337,0.005697241,0.002937818,0.002371015,0.003903924],"category_scores_gemma":[0.02345455,0.001558445,0.002660596,0.002941066,0.003242579,0.01242849,0.00454218,0.006624687,0.001220442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003010392,"about_ca_system_score_gemma":0.00380101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008312311,"about_ca_topic_score_gemma":0.00972437,"domain_scores_codex":[0.9803808,0.008657413,0.002937095,0.002097524,0.004768327,0.001158853],"domain_scores_gemma":[0.9801484,0.006681714,0.001570337,0.007366794,0.003449959,0.0007827419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000114959,0.000110216,0.001380963,0.0001871168,0.00009020688,0.0003131467,0.003223175,0.01493535,0.003991071,0.9231105,0.003944265,0.0485989],"study_design_scores_gemma":[0.00007878866,0.0001621445,0.0008085181,0.0003050074,0.0001399667,0.000644259,0.001392539,0.1372882,0.009176838,0.754917,0.09493883,0.0001478385],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004326767,0.0001415073,0.9895191,0.0009693467,0.00003375419,0.0002102782,0.0003217463,0.0003089902,0.004168526],"genre_scores_gemma":[0.1323858,0.0004029627,0.8609781,0.0004824472,0.00007894466,0.0005269642,0.0006432654,0.0001298133,0.004371779],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01711877,"threshold_uncertainty_score":0.09053379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06180125602071718,"score_gpt":0.3291382405030663,"score_spread":0.2673369844823491,"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."}}