{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008492279,0.0007416677,0.0007508658,0.001571729,0.008104256,0.01396351,0.001280908,0.01198197,0.01139117],"category_scores_gemma":[0.02022355,0.0006996575,0.0009540183,0.001410263,0.04177162,0.02903398,0.00674238,0.01808977,0.00413222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006182217,"about_ca_system_score_gemma":0.006513397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003745179,"about_ca_topic_score_gemma":0.002167101,"domain_scores_codex":[0.989732,0.003790644,0.0003615779,0.002051405,0.003372374,0.0006920207],"domain_scores_gemma":[0.9861377,0.009932853,0.0004230283,0.002094745,0.001058772,0.0003528575],"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":[0.000003559516,0.000003983691,0.00003659985,0.00001865121,0.000001718865,0.0000265009,0.0004673103,0.00004382869,0.00002756828,0.9790204,0.01416129,0.006188628],"study_design_scores_gemma":[0.000006685659,0.000008827882,0.00007058693,0.0001935718,0.000005661176,0.0002421328,0.0003496622,0.0002770052,0.0001761133,0.7470171,0.2516438,0.000008794136],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003973627,0.01875337,0.02967269,0.2442269,0.002597365,0.00005754499,0.0001645466,0.0002089389,0.700345],"genre_scores_gemma":[0.4447647,0.02593021,0.02061468,0.1819373,0.007109574,0.0005773899,0.0002866457,0.0006495168,0.31813],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01396351,"threshold_uncertainty_score":0.04491198,"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."}}