{"id":"W4391932566","doi":"10.3233/shti231313","title":"Towards a Regulatory Framework for Electronic Medical Record Data Visualization","year":2024,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"","keywords":"Usability; Dashboard; Medical record; Health care; Scalability; Visualization; Information visualization; Computer science; Data science; Knowledge management; Medicine; Data mining; Database; Political science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1969451,0.001860978,0.001926657,0.01046729,0.004100613,0.02910206,0.01064379,0.008904316,0.005629008],"category_scores_gemma":[0.2001205,0.002608609,0.003297302,0.00592096,0.01211132,0.0252823,0.01368938,0.0122483,0.004998327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004915238,"about_ca_system_score_gemma":0.02264219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01003112,"about_ca_topic_score_gemma":0.005587338,"domain_scores_codex":[0.8516758,0.07722466,0.01910253,0.01050253,0.03795051,0.003543952],"domain_scores_gemma":[0.7441291,0.09095942,0.01704842,0.0474888,0.08989343,0.01048079],"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":[0.0001547355,0.0008257461,0.003502588,0.0007529202,0.0001188621,0.0004859992,0.003939707,0.008211536,0.005000307,0.8225266,0.02078245,0.1336986],"study_design_scores_gemma":[0.000225927,0.0007102685,0.002516434,0.004202828,0.0002044318,0.0009633587,0.003002196,0.1230731,0.01245939,0.3685317,0.4836664,0.0004440171],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001824261,0.0003574217,0.976102,0.007249441,0.0003016649,0.001035211,0.0002168259,0.005085435,0.007827831],"genre_scores_gemma":[0.03660357,0.0005297468,0.9550292,0.001460996,0.0003165366,0.001318437,0.0009036201,0.0009297593,0.002908136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1969451,"threshold_uncertainty_score":0.9903097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.147633630789995,"score_gpt":0.551016195052905,"score_spread":0.40338256426291,"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."}}