{"id":"W4312694957","doi":"10.2139/ssrn.4226330","title":"Privacy Dark Patterns: A Case for Regulatory Reform in Canada","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Legal Systems and Judicial Processes","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Personally identifiable information; Internet privacy; Privacy policy; Information privacy; Business; Information privacy law; Privacy by Design; Legislature; Privacy law; Population; CLARITY; Privacy laws of the United States; The Internet; Political science; Law; Sociology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002907216,0.00008185321,0.000151489,0.00006809062,0.001325713,0.00004511226,0.0003124858,0.0000264247,0.00005143566],"category_scores_gemma":[0.00008514217,0.00007909924,0.00005382289,0.0002402665,0.00002188863,0.0001951096,0.00005018518,0.0009380361,5.146642e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.02166775,"about_ca_system_score_gemma":0.03480997,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9928881,"about_ca_topic_score_gemma":0.9993517,"domain_scores_codex":[0.9973124,0.0001545289,0.0002815553,0.0001471582,0.0004530238,0.001651299],"domain_scores_gemma":[0.9995441,0.00004546713,0.0001665424,0.00009197401,0.00006056951,0.0000913576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003792431,0.0002414988,0.08775934,0.0001192736,0.0002802835,0.001813276,0.02558285,0.0002865313,0.00006265665,0.7693377,0.004300227,0.1098372],"study_design_scores_gemma":[0.001815947,0.0004573919,0.001616579,0.00004674285,0.00003278627,0.00346609,0.4908367,0.00005138589,0.00001302342,0.2553212,0.2457861,0.0005560028],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916269,0.001991307,0.0001313905,0.00264146,0.0005334716,0.000303908,0.00001828743,0.00001109316,0.002742202],"genre_scores_gemma":[0.9982252,0.0002391638,0.000005036999,0.0001912602,0.0004316691,0.00004673387,0.000002000792,0.00001321983,0.0008456983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5140164,"threshold_uncertainty_score":0.9999744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01113064887425854,"score_gpt":0.2589401343547555,"score_spread":0.247809485480497,"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."}}