{"id":"W2933167995","doi":"10.5694/mja2.50033","title":"Towards routine use of national electronic health records in Australian emergency departments","year":2019,"lang":"en","type":"article","venue":"The Medical Journal of Australia","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health records; Medical emergency; Electronic health record; Medicine; Family medicine; Health care; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1370344,0.0005135809,0.0008239045,0.008248111,0.002942765,0.009517113,0.007313782,0.002537004,0.003168831],"category_scores_gemma":[0.3301463,0.001636279,0.0007505825,0.007244695,0.002548483,0.01261674,0.0208994,0.00430027,0.001514069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01158808,"about_ca_system_score_gemma":0.0347992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1075191,"about_ca_topic_score_gemma":0.1133839,"domain_scores_codex":[0.8571208,0.07250849,0.02473282,0.008423745,0.0321212,0.005093021],"domain_scores_gemma":[0.7072163,0.0645556,0.04608282,0.03452656,0.129883,0.01773576],"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":[0.0002167237,0.0008159635,0.3623511,0.004162035,0.0001036799,0.0009114118,0.1322004,0.0005563032,0.002632252,0.005080866,0.03059288,0.4603765],"study_design_scores_gemma":[0.00007741867,0.0009561257,0.716903,0.01226784,0.00009246814,0.001152069,0.07539366,0.003897912,0.002520703,0.004109858,0.1823346,0.0002943591],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6764186,0.01608706,0.05066908,0.1610706,0.001544865,0.01124338,0.006081071,0.001872166,0.07501318],"genre_scores_gemma":[0.7889264,0.01043253,0.1640992,0.02040638,0.0003982916,0.00577511,0.003290089,0.0002859026,0.00638599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1370344,"threshold_uncertainty_score":0.7247159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1429937537932347,"score_gpt":0.4881859076665815,"score_spread":0.3451921538733468,"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."}}