{"id":"W2525610626","doi":"10.7202/1069177ar","title":"PROTECTING ONLINE PRIVACY IN THE PRIVATE SECTOR: IS THERE A ‘BETTER’ MODEL?","year":2020,"lang":"en","type":"article","venue":"Revue québécoise de droit international","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Internet privacy; Privacy policy; The Internet; Cyberspace; Legislation; Business; Privacy by Design; Data Protection Act 1998; Information privacy; Privacy law; Legal aspects of computing; Inclusion (mineral); Enforcement; Personally identifiable information; Computer security; Public relations; Political science; Computer science; Law; World Wide Web; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02964089,0.0007322461,0.001154466,0.002289254,0.01164179,0.02713133,0.003154593,0.01490109,0.008611655],"category_scores_gemma":[0.03523858,0.0006059244,0.001304347,0.002642966,0.07129699,0.04068923,0.006735289,0.01674578,0.001914618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02038326,"about_ca_system_score_gemma":0.03236274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07199397,"about_ca_topic_score_gemma":0.05676703,"domain_scores_codex":[0.9639873,0.02182673,0.0007186499,0.002350698,0.007985673,0.003130964],"domain_scores_gemma":[0.9593669,0.021322,0.002183288,0.009265603,0.005669675,0.002192594],"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":[0.00000775988,0.00002172169,0.0003081561,0.00002850442,0.000004985413,0.00004152909,0.002305276,0.0001155653,0.00004745707,0.9837923,0.006234517,0.007092304],"study_design_scores_gemma":[0.00003002246,0.00005786297,0.001139709,0.0006179539,0.00001764687,0.0002350599,0.006273196,0.001429098,0.0003323878,0.7897024,0.2000997,0.00006486788],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01145425,0.004937803,0.02677704,0.7806198,0.000879972,0.00008351696,0.0001114721,0.0001000186,0.1750361],"genre_scores_gemma":[0.7906463,0.009613991,0.01947411,0.1407649,0.001867264,0.000353299,0.000163453,0.0001702706,0.03694648],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07199397,"threshold_uncertainty_score":0.156758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04634030246360775,"score_gpt":0.3004203944541821,"score_spread":0.2540800919905743,"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."}}