{"id":"W4308527782","doi":"10.2196/43829","title":"Correction: Frequent Mobile Electronic Medical Records Users Respond More Quickly to Emergency Department Consultation Requests: Retrospective Quantitative Study","year":2022,"lang":"en","type":"erratum","venue":"JMIR mhealth and uhealth","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emergency department; Medical record; Medical emergency; Computer science; Health records; Mobile device; Retrospective cohort study; Medicine; Internet privacy; World Wide Web; Health care; Nursing; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01066856,0.001775572,0.001567025,0.003460121,0.003841024,0.003150638,0.003312964,0.004644477,0.06934497],"category_scores_gemma":[0.2409253,0.0009432597,0.00140744,0.003802603,0.002199097,0.002654481,0.001713297,0.006814166,0.02223176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004251308,"about_ca_system_score_gemma":0.01000362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05701403,"about_ca_topic_score_gemma":0.05092416,"domain_scores_codex":[0.9874536,0.002741826,0.003171345,0.001199633,0.004720064,0.0007134864],"domain_scores_gemma":[0.8504829,0.06843004,0.01099743,0.005875507,0.06150061,0.002713511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000398239,0.000007987126,0.0005381579,0.0002358396,0.00001311622,0.0001660334,0.000100944,0.00001810111,0.00001036634,0.0002963523,0.9952174,0.003355831],"study_design_scores_gemma":[0.0003814299,0.0001177586,0.01540066,0.006355844,0.0002762064,0.002291342,0.002190915,0.0006551426,0.000575761,0.003916797,0.9675769,0.0002613195],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.001581412,0.00153363,0.001032302,0.1949332,0.7783512,0.0001545729,0.01569057,0.0007939143,0.005929282],"genre_scores_gemma":[0.1343961,0.01301549,0.01055414,0.4133793,0.2143379,0.002388372,0.01975552,0.005438672,0.1867345],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06934497,"threshold_uncertainty_score":0.2319821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05876588987839462,"score_gpt":0.4832193869703871,"score_spread":0.4244534970919925,"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."}}