{"id":"W3211102095","doi":"","title":"AI-enabled Automation for Completeness Checking of Privacy Policies","year":2021,"lang":"en","type":"article","venue":"Open Repository and Bibliography (University of Luxembourg)","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Privacy policy; Completeness (order theory); General Data Protection Regulation; Information privacy; Privacy software; Privacy by Design; Computer security; Privacy law; Data Protection Act 1998","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0005663477,0.0000762842,0.0002348686,0.001734737,0.001128038,0.0001773618,0.0005358638,0.00009758429,0.00002814099],"category_scores_gemma":[0.00001487288,0.00009350217,0.0001316857,0.004723637,0.000315369,0.001158167,0.0004263752,0.00006585331,2.726445e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001151252,"about_ca_system_score_gemma":0.0001335091,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01018966,"about_ca_topic_score_gemma":0.0003793432,"domain_scores_codex":[0.9990743,0.0001927332,0.0001444277,0.0002165143,0.0002084814,0.0001634795],"domain_scores_gemma":[0.9989706,0.00009036648,0.0002325306,0.0002287519,0.000398773,0.0000790054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001297599,0.0016453,0.6242563,0.002573121,0.001140477,0.0000796508,0.0551487,0.00002663904,0.1075755,0.1362829,0.05916093,0.0108129],"study_design_scores_gemma":[0.004941619,0.0005133557,0.567068,0.0006520182,0.000535504,0.00003453679,0.07987817,0.0005505848,0.03615441,0.04173763,0.2669443,0.0009898478],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9583681,0.0008453581,0.01503523,0.002477568,0.0003021401,0.001278679,0.00009603479,0.00008338474,0.02151346],"genre_scores_gemma":[0.9955647,0.0008281079,0.003224577,0.00004491904,0.00006242831,0.000002081972,0.00002267979,0.000004402596,0.0002460988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2077834,"threshold_uncertainty_score":0.9964015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03786345350325958,"score_gpt":0.2983370627896038,"score_spread":0.2604736092863442,"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."}}