{"id":"W1886583462","doi":"10.2139/ssrn.4962266","title":"An Overview of Privacy Law in 2024","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"John Simon Guggenheim Memorial Foundation; Alexander von Humboldt-Stiftung","keywords":"Privacy law; Information privacy; Statute; Privacy policy; Privacy by Design; Information privacy law; Law; Privacy software; Consumer privacy; Law enforcement; Internet privacy; Political science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003600358,0.00007916559,0.0001287782,0.0001349956,0.0001965175,0.00013254,0.0005094805,0.00008425844,0.0001467832],"category_scores_gemma":[0.0001315564,0.00007310027,0.00007197067,0.0004561129,0.00009876218,0.0008091991,0.00005754754,0.001223633,0.00002948282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000734878,"about_ca_system_score_gemma":0.002234613,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006599913,"about_ca_topic_score_gemma":0.04901531,"domain_scores_codex":[0.9979587,0.0002659008,0.0002371354,0.0001638604,0.0003133762,0.00106108],"domain_scores_gemma":[0.9996157,0.0000386408,0.00005537483,0.0001777728,0.00003916042,0.00007330818],"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":[0.0000114994,0.00005259184,0.0002466071,0.00002337074,0.00002126103,0.000004778863,0.002479388,0.000001722821,0.0001912874,0.973466,0.0001600297,0.02334148],"study_design_scores_gemma":[0.0001475961,0.0001602035,0.0001936532,0.00008934138,0.00001391625,0.00003189552,0.00268798,0.00007530343,0.00007878363,0.907388,0.08903611,0.00009715946],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6137989,0.3095888,0.006328198,0.01553534,0.004437005,0.00102132,0.00003563665,0.0003234917,0.04893142],"genre_scores_gemma":[0.9636092,0.03542091,0.00004908555,0.00005431334,0.0004803402,0.000003671237,0.00000251666,0.0000101188,0.0003698323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3498104,"threshold_uncertainty_score":0.9977139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03733657044425599,"score_gpt":0.3561046550874096,"score_spread":0.3187680846431536,"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."}}