{"id":"W2082311432","doi":"10.1016/j.giq.2007.05.002","title":"Personal health information in Canada: A comparison of citizen expectations and legislation","year":2007,"lang":"en","type":"article","venue":"Government Information Quarterly","topic":"Patient Dignity and Privacy","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Legislation; Public opinion; Legislature; Personally identifiable information; Business; Information privacy; Safeguard; Corporate governance; Public health; Medical information; Internet privacy; Public relations; Public administration; Political science; Law; Politics; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002233491,0.00007353727,0.0001663595,0.00009595751,0.00004849997,0.0000147034,0.00002904118,0.00003021536,0.00002447895],"category_scores_gemma":[0.00003692466,0.0000754643,0.00001819061,0.0001380961,0.00001520388,0.001303716,0.000005851179,0.00009198553,0.00000693225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008175443,"about_ca_system_score_gemma":0.0004345857,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09269469,"about_ca_topic_score_gemma":0.1290233,"domain_scores_codex":[0.998525,0.00001177182,0.000680692,0.00003965747,0.000596802,0.0001461303],"domain_scores_gemma":[0.9993601,0.00005339296,0.0003744519,0.00007157098,0.00005707823,0.0000833642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000456249,0.000103744,0.222662,0.0004353862,0.00002781405,7.373239e-7,0.2414371,0.00002751084,0.0000478644,0.001434365,0.002137888,0.5312294],"study_design_scores_gemma":[0.002145926,0.0006515065,0.8363267,0.0001003468,0.000009462203,0.000006131714,0.1491102,0.007716936,0.0001899963,0.00003542369,0.003593611,0.000113819],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874685,0.00003973473,0.006047165,0.0007136632,0.00006927796,0.0003811172,0.00006955382,0.00001122549,0.005199715],"genre_scores_gemma":[0.9988577,0.000002374552,0.0003967041,0.000529008,0.000009691856,0.000006492967,0.000190544,0.000001721816,0.000005732827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6136647,"threshold_uncertainty_score":0.9133471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01909114771935467,"score_gpt":0.2727269132695988,"score_spread":0.2536357655502441,"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."}}