{"id":"W3013435598","doi":"10.5220/0008977301310141","title":"Privacy with Health Information Technologies: What Story Do Data Breaches in US Tell Us?","year":2020,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Université du Québec à Trois-Rivières","funders":"","keywords":"Internet privacy; Computer science; Information privacy; Data breach; Computer security; Data science; World Wide Web","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":[],"consensus_categories":[],"category_scores_codex":[0.0009142158,0.00009817891,0.0001448323,0.0001035036,0.0003040973,0.0003613167,0.001215916,0.0001132723,0.00005388346],"category_scores_gemma":[0.0008633687,0.00008180244,0.00001172351,0.0005538194,0.0001742705,0.007988788,0.0007154036,0.000297873,0.00007117941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001603358,"about_ca_system_score_gemma":0.0003867014,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008867557,"about_ca_topic_score_gemma":0.007318846,"domain_scores_codex":[0.9988047,0.0001307488,0.0002084201,0.0002472662,0.0003316532,0.0002771791],"domain_scores_gemma":[0.99907,0.00004956919,0.0001298255,0.0006245309,0.00003656684,0.00008946248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001616899,0.0001685009,0.03247642,0.0002631395,0.00002814533,0.000004413273,0.1662168,0.00001663356,0.00001266816,0.007461491,0.0510943,0.7420958],"study_design_scores_gemma":[0.0004808627,0.0001801494,0.00428925,0.00007091494,0.000004189745,0.000001434509,0.1198042,0.0004697164,0.00007073675,0.0006989308,0.8737086,0.000221065],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.440607,0.007638717,0.03339429,0.4723434,0.001015797,0.005951082,0.0002805105,0.005153636,0.03361561],"genre_scores_gemma":[0.9910412,0.003158991,0.003101392,0.002417169,0.00008995834,0.00002105944,0.0001405947,0.000006914702,0.00002275782],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8226143,"threshold_uncertainty_score":0.9977325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06566145922294854,"score_gpt":0.3136715337626865,"score_spread":0.2480100745397379,"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."}}