{"id":"W2100656774","doi":"10.1109/aiccsa.2008.4493601","title":"Privacy and the market for private data: A negotiation model to capitalize on private data","year":2008,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Asset (computer security); Negotiation; Private information retrieval; Business; Value (mathematics); Consumer privacy; Information privacy; Market data; Process (computing); Value of information; Internet privacy; Computer science; Computer security; Finance","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":[0.00938365,0.001023902,0.001487889,0.001055981,0.00270492,0.00735056,0.003597231,0.006848002,0.01416139],"category_scores_gemma":[0.01720167,0.001025712,0.002075939,0.001814976,0.004986707,0.01389087,0.004674809,0.005901108,0.001614486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003602526,"about_ca_system_score_gemma":0.003216975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003034068,"about_ca_topic_score_gemma":0.001912305,"domain_scores_codex":[0.9936372,0.003602976,0.0002218552,0.0008882225,0.0009196777,0.0007301687],"domain_scores_gemma":[0.9882275,0.008444321,0.0009053349,0.001159065,0.0004506385,0.0008131285],"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":[0.0001132156,0.00009383352,0.0003621766,0.00004823268,0.00003807308,0.0003083806,0.0005364065,0.0586106,0.0004956527,0.9316763,0.001455643,0.006261376],"study_design_scores_gemma":[0.0001296869,0.00005947211,0.0001395415,0.00003270852,0.0000296628,0.0002079525,0.0001969958,0.4285289,0.0002399745,0.5631545,0.007238577,0.00004198905],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05468946,0.000639166,0.865137,0.01108744,0.0002034486,0.0004387301,0.0003204481,0.0001506019,0.06733374],"genre_scores_gemma":[0.8363909,0.0007469949,0.1313865,0.0009835894,0.0003012111,0.0006783053,0.0001618903,0.0000980851,0.0292525],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01416139,"threshold_uncertainty_score":0.04962605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1217457174849382,"score_gpt":0.3460024346802501,"score_spread":0.2242567171953119,"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."}}