{"id":"W7103664325","doi":"","title":"Defining and Assessing Data Privacy Transparency: A Third Study of Canadian Internet Carriers","year":2022,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transparency (behavior); The Internet; Notice; Information privacy; Privacy policy; Privacy by Design; Internet governance; Privacy software","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02784223,0.0006227309,0.0009055306,0.005984342,0.03528124,0.01091524,0.002122334,0.001818341,0.002921692],"category_scores_gemma":[0.06598201,0.0006895106,0.0007612769,0.01015273,0.01342202,0.004424354,0.008334718,0.0034127,0.0002277917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0956703,"about_ca_system_score_gemma":0.1539611,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9725844,"about_ca_topic_score_gemma":0.9731214,"domain_scores_codex":[0.9741603,0.006559647,0.0009702321,0.001913636,0.01006753,0.00632863],"domain_scores_gemma":[0.9260952,0.01867868,0.00661945,0.003772096,0.04035675,0.004477842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001308261,0.0003306744,0.08693692,0.0001087284,0.00002397876,0.0003360634,0.8869053,0.000107727,0.0008891111,0.008995716,0.001405413,0.0138296],"study_design_scores_gemma":[0.00002175694,0.0001619051,0.0722314,0.0001486558,0.00003457064,0.00008375599,0.9063476,0.0006249314,0.001010433,0.0009561213,0.01828778,0.00009110487],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892856,0.00009392897,0.0005270064,0.001221814,0.00001283577,0.0003165553,0.0001037852,0.000006813737,0.008431495],"genre_scores_gemma":[0.9943547,0.0001505513,0.001102553,0.000666798,0.000006536874,0.000192953,0.0001270709,0.0000179676,0.003380928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0956703,"threshold_uncertainty_score":0.6941398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3589464062234888,"score_gpt":0.5469408421611289,"score_spread":0.1879944359376401,"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."}}