{"id":"W4407753242","doi":"10.3233/shti250009","title":"Canadians and Digital Health Data: Privacy Experiences and Perspectives","year":2025,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Health Infoway; University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Internet privacy; Information privacy; Privacy policy; Public health; Digital health; Public relations; Health data; Business; Political science; Psychology; Computer science; Medicine; Health care; Law; Nursing","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":[0.0007891478,0.00008750012,0.0002393317,0.0003555234,0.001184737,0.00006075578,0.0002692009,0.0000964701,8.326172e-7],"category_scores_gemma":[0.00189615,0.00008090356,0.000004393988,0.0005055799,0.001808334,0.0008233521,0.0008270079,0.0002165871,3.317225e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001437547,"about_ca_system_score_gemma":0.0004117345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004729406,"about_ca_topic_score_gemma":0.0148001,"domain_scores_codex":[0.9990429,0.0000424427,0.0003576648,0.0001573155,0.00007995027,0.000319756],"domain_scores_gemma":[0.9994108,0.0001054705,0.0001236629,0.0002511562,0.00003881337,0.00007011703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000007681712,0.00002205071,0.01867417,0.0005861728,0.00002614244,7.493761e-7,0.7180613,8.590989e-8,2.199454e-8,0.1269248,0.003835746,0.131861],"study_design_scores_gemma":[0.0001885086,0.00009693467,0.001658381,0.0001272027,0.000001558277,0.000003620586,0.8975158,0.0000774568,3.234908e-7,0.02012072,0.08013675,0.00007273307],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6578658,0.1476782,0.0006477425,0.1873021,0.0006651218,0.001406074,0.0001277775,0.0002578282,0.004049414],"genre_scores_gemma":[0.9277658,0.07040405,0.0009410153,0.0007865856,0.00002005965,0.00003642771,0.00000563637,0.000001920965,0.00003847935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2699001,"threshold_uncertainty_score":0.9112162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06627170884843304,"score_gpt":0.3962542460924722,"score_spread":0.3299825372440391,"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."}}