{"id":"W4251805076","doi":"10.32920/ryerson.14656095.v1","title":"Internet privacy in Canada: a public interest perspective","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Internet privacy; Legislation; Information privacy; Legislature; Privacy law; Government (linguistics); Data Protection Act 1998; Privacy policy; Personally identifiable information; Business; Public relations; Commodity; Privacy by Design; Action (physics); Perspective (graphical); Information privacy law; The Internet; Political science; Computer science; Law; World Wide Web","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006679073,0.0002232375,0.000342835,0.0002014645,0.000121794,0.0005428389,0.001523714,0.0002754751,0.001544655],"category_scores_gemma":[0.003226771,0.000238172,0.0000910759,0.0003563833,0.0001289937,0.0003919738,0.003933998,0.001125696,0.0000163575],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.007547746,"about_ca_system_score_gemma":0.01328284,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9990551,"about_ca_topic_score_gemma":0.9999234,"domain_scores_codex":[0.9975107,0.0005111101,0.0003376867,0.0007225949,0.0004354084,0.0004825011],"domain_scores_gemma":[0.9985638,0.00008896559,0.000152737,0.0006674987,0.000319584,0.0002073987],"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":[0.00008490524,0.0008142372,0.0763117,0.0003298084,0.0004158632,0.0005540176,0.1962894,0.000007954141,0.00003137163,0.6151908,0.09087035,0.01909954],"study_design_scores_gemma":[0.001199019,0.00007410198,0.04982699,0.0008605035,0.00005982788,0.00001376131,0.5387138,0.001061892,0.0003844294,0.1135645,0.2918641,0.002376965],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7744858,0.001780599,0.002625016,0.07229901,0.005409166,0.001667551,0.00009904056,0.0002561904,0.1413776],"genre_scores_gemma":[0.9977324,0.0003101783,0.000319231,0.0003598971,0.0003359776,0.00008393966,0.00007903438,0.00001535217,0.0007639647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5016263,"threshold_uncertainty_score":0.9993681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09171840344917356,"score_gpt":0.3179708392920415,"score_spread":0.2262524358428679,"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."}}