{"id":"W2800196470","doi":"10.1108/ijhg-11-2017-0058","title":"Revisiting public health informatics: patient privacy concerns","year":2018,"lang":"en","type":"article","venue":"International Journal of Health Governance","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of British Columbia","funders":"","keywords":"Health informatics; Public relations; Stakeholder; Session (web analytics); Information privacy; Public health; Informatics; Originality; Internet privacy; Political science; Knowledge management; Business; Computer science; Medicine; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1538882,0.0005307768,0.0009630687,0.003812616,0.01324589,0.0281049,0.004482334,0.01275089,0.005884035],"category_scores_gemma":[0.1837235,0.0008372706,0.001347809,0.007554595,0.05057186,0.03052251,0.01873986,0.0250171,0.000890239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01844558,"about_ca_system_score_gemma":0.06648204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01152196,"about_ca_topic_score_gemma":0.00951856,"domain_scores_codex":[0.8364834,0.1147886,0.007779702,0.006321734,0.02947347,0.005153235],"domain_scores_gemma":[0.6035649,0.3398536,0.01189039,0.01696308,0.02149447,0.006233471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000365864,0.0001074889,0.007044324,0.001558213,0.00005182307,0.0009387663,0.08377192,0.0005514832,0.0003096039,0.7272509,0.06300514,0.1153737],"study_design_scores_gemma":[0.00003101517,0.00009787539,0.002969041,0.007653103,0.00007769297,0.002225472,0.1333517,0.00104336,0.001050589,0.3527446,0.4986759,0.00007963027],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.00644829,0.006794568,0.01087907,0.956398,0.00139401,0.00006112067,0.00006875876,0.0000555969,0.01790053],"genre_scores_gemma":[0.5210391,0.02621889,0.02241778,0.4161469,0.007369668,0.0003998106,0.0002789023,0.0002221113,0.005906815],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1538882,"threshold_uncertainty_score":0.8138484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1069783494796028,"score_gpt":0.4686068456375855,"score_spread":0.3616284961579828,"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."}}