{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008298066,0.0003432746,0.0006529777,0.002906934,0.04252402,0.013367,0.00144495,0.002704526,0.005657929],"category_scores_gemma":[0.01973769,0.0005796857,0.000586861,0.008826802,0.01648036,0.004580203,0.00934066,0.005510962,0.0002397392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05886649,"about_ca_system_score_gemma":0.1030397,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9795903,"about_ca_topic_score_gemma":0.9770706,"domain_scores_codex":[0.9882515,0.003586833,0.0003405965,0.0007300632,0.003494385,0.003596571],"domain_scores_gemma":[0.9826289,0.006576278,0.001573352,0.0004873929,0.003405982,0.005327906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00005450385,0.00004761923,0.0236783,0.00008213738,0.00001638489,0.0006324261,0.9466786,0.00003595633,0.0002157423,0.01091508,0.007350417,0.01029291],"study_design_scores_gemma":[0.000007909915,0.00002027499,0.01256858,0.0001229393,0.00001015131,0.0002120427,0.9187261,0.00004509997,0.00006640403,0.0006041847,0.06757696,0.00003938521],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8273668,0.004102249,0.0005809464,0.07930613,0.0002827061,0.00009327678,0.0009236255,0.00002619995,0.08731799],"genre_scores_gemma":[0.9836166,0.002724068,0.0002539124,0.005934416,0.00005785813,0.00002600928,0.0002241862,0.00001600988,0.007147007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05886649,"threshold_uncertainty_score":0.4271082,"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."}}