{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0213845,0.0005110214,0.0009754215,0.002284873,0.005885146,0.01392345,0.001330868,0.01409378,0.003981644],"category_scores_gemma":[0.08575477,0.0006169963,0.0009791683,0.003529714,0.02924909,0.03909678,0.006382702,0.0211313,0.0008263761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004156259,"about_ca_system_score_gemma":0.006055874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005953163,"about_ca_topic_score_gemma":0.004448876,"domain_scores_codex":[0.9813053,0.01183986,0.0006684919,0.00116502,0.003718329,0.001302893],"domain_scores_gemma":[0.8918199,0.08404204,0.009849793,0.005098712,0.005944875,0.003244718],"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":[0.0002834277,0.0001797869,0.02167914,0.000930932,0.0002734823,0.001231388,0.04929712,0.0005115463,0.0004858466,0.669435,0.1626496,0.09304277],"study_design_scores_gemma":[0.00004731735,0.0001283146,0.006943278,0.002933923,0.0001178377,0.001974197,0.06007067,0.0008463658,0.0009513795,0.613782,0.3120503,0.0001543685],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.009344697,0.02128335,0.00212143,0.953262,0.001225908,0.0000131708,0.0001798031,0.00002053148,0.01254909],"genre_scores_gemma":[0.5841807,0.06644171,0.002776725,0.3323547,0.009188646,0.00008299484,0.000222761,0.00009124645,0.004660564],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0213845,"threshold_uncertainty_score":0.1130934,"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."}}