{"id":"W1978435309","doi":"10.1016/j.ijmedinf.2012.12.006","title":"National efforts to improve health information system safety in Canada, the United States of America and England","year":2013,"lang":"en","type":"article","venue":"International Journal of Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":77,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"Health Canada","keywords":"SAFER; Certification; Health information technology; Procurement; Software deployment; Variety (cybernetics); Patient safety; Information technology; Usability; Medicine; Business; Public relations; Health care; Computer science; Political science; Marketing; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003113111,0.0001013666,0.0003331846,0.000371285,0.0001025806,0.00001848343,0.0004569837,0.00008745459,0.00007612204],"category_scores_gemma":[0.001124062,0.00006414955,0.00002724646,0.0002528458,0.00004003038,0.0004230143,0.0001086502,0.0007711712,0.0000177477],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002465236,"about_ca_system_score_gemma":0.01000543,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5840855,"about_ca_topic_score_gemma":0.1244903,"domain_scores_codex":[0.9941517,0.0002842925,0.002908705,0.00003729002,0.002302313,0.0003157588],"domain_scores_gemma":[0.9951013,0.00114311,0.001792717,0.00008515033,0.001520944,0.0003567495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009661439,0.0001688248,0.06874762,0.007292363,0.0008432594,0.00002457487,0.1809731,0.01299007,0.00000789096,0.02385795,0.2238798,0.4802484],"study_design_scores_gemma":[0.005365614,0.0005024022,0.03619638,0.004072606,0.000009898063,0.0002177619,0.07976004,0.4002618,0.0000066787,0.0002338827,0.47315,0.0002229248],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9241284,0.00009609545,0.01356096,0.05688362,0.002944725,0.001298235,0.000133109,0.00001211525,0.0009427415],"genre_scores_gemma":[0.9808831,0.0003575642,0.0006687706,0.01770049,0.0002797178,0.00003591325,0.00005226433,0.000006895119,0.00001523545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4800255,"threshold_uncertainty_score":0.9956069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01599561710133241,"score_gpt":0.3599937902233589,"score_spread":0.3439981731220265,"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."}}