{"id":"W4293093726","doi":"10.1109/pst55820.2022.9851983","title":"Content Analysis of Privacy Policies Before and After GDPR","year":2022,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Privacy policy; General Data Protection Regulation; Enforcement; Information privacy; Privacy by Design; Internet privacy; Privacy software; Privacy protection; Content analysis; Computer science; Data Protection Act 1998; Business; Computer security; Political science; Law","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003984954,0.0000434135,0.000124788,0.0001733738,0.0003326413,0.00002854086,0.0001988481,0.00002108009,0.001022886],"category_scores_gemma":[0.0001478726,0.00003894612,0.00006158761,0.0006130392,0.0001315034,0.0001387238,0.0004242864,0.00006008986,0.000001426912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004717906,"about_ca_system_score_gemma":0.00003299764,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02783936,"about_ca_topic_score_gemma":0.01977406,"domain_scores_codex":[0.9992652,0.000109632,0.0001219895,0.0001202111,0.0002561918,0.0001267628],"domain_scores_gemma":[0.9996617,0.00002463203,0.0000516716,0.0001762359,0.00003721448,0.00004858225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009252007,0.0001976818,0.7961851,0.00002008669,0.0005365588,0.000003308613,0.1168568,0.000009119866,0.0002988933,0.07594381,0.002567135,0.007288938],"study_design_scores_gemma":[0.0002517622,0.0001208304,0.8561115,0.000002342404,0.0003475145,6.44431e-7,0.03218091,0.0002282662,0.0001225357,0.008220118,0.102265,0.0001485235],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927326,0.0001241046,0.0001877941,0.002820114,0.0000546176,0.0001427076,0.00006872894,0.00003091776,0.00383846],"genre_scores_gemma":[0.998565,0.0000409315,0.0001107218,0.0002505121,0.00003424459,0.00003319695,0.00001200232,0.000002226444,0.000951202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09969787,"threshold_uncertainty_score":0.9998903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04209065000163145,"score_gpt":0.3095009694897478,"score_spread":0.2674103194881163,"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."}}