{"id":"W4388714692","doi":"10.1017/9781108995825","title":"The Privacy Fallacy","year":2023,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Law, AI, and Intellectual Property","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Fallacy; Liability; Accountability; Value (mathematics); Law and economics; Information privacy; Privacy laws of the United States; Political science; Internet privacy; Business; Law; Sociology; Computer science; Epistemology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002484901,0.0003653476,0.0003297148,0.0001215254,0.0008259179,0.0004007588,0.004575545,0.0002910343,0.000001419233],"category_scores_gemma":[0.00008047157,0.0002859151,0.0002800564,0.00004835269,0.000473336,0.0002384482,0.002805247,0.0006031891,0.0002723595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003705346,"about_ca_system_score_gemma":0.0006488563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008358814,"about_ca_topic_score_gemma":0.000003614036,"domain_scores_codex":[0.9979101,0.0001405191,0.0002196366,0.0007279276,0.0004676079,0.0005342499],"domain_scores_gemma":[0.9973223,0.0004321929,0.0001813334,0.001639839,0.0002316936,0.0001926687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001198666,0.000003936001,1.002056e-7,0.00002061281,0.00005989732,0.00008543717,0.0001285094,6.56812e-7,0.000006376815,0.4398793,0.5562998,0.003503403],"study_design_scores_gemma":[0.0002429032,0.00006604832,0.000003573763,0.00007467993,0.00003740835,0.00001106539,0.00001472543,0.002017774,0.0001491784,0.0001155784,0.9968703,0.0003967266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000005862086,0.0001705079,0.01877562,0.0001451747,0.001093788,0.0004171936,0.00002939347,0.0006575317,0.9787049],"genre_scores_gemma":[0.00006803073,0.0003896667,0.0001464278,0.0001704622,0.0002412442,0.000001471068,0.0000135199,0.00004322954,0.9989259],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4405705,"threshold_uncertainty_score":0.9999593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0321562495771178,"score_gpt":0.2022798849482462,"score_spread":0.1701236353711284,"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."}}