{"id":"W4386204518","doi":"10.2196/51303","title":"Impact of an Electronic Medical Record–Connected Questionnaire on Efficient Nursing Documentation: Usability and Efficacy Study","year":2023,"lang":"en","type":"article","venue":"JMIR Nursing","topic":"Nursing Diagnosis and Documentation","field":"Nursing","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Council for Science, Technology and Innovation; National Institute of Biomedical Innovation","keywords":"Documentation; Usability; Medical record; Nursing documentation; Medicine; Nursing; Medical emergency; Family medicine; Nursing care; Computer 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008633686,0.0003057571,0.0004059082,0.0004120015,0.0003847,0.0001492639,0.0001776481,0.0001500528,0.0001239866],"category_scores_gemma":[0.0003433547,0.0002877768,0.0001337513,0.001015696,0.000285395,0.0003399743,0.00001418787,0.0003475658,0.00002406118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001262218,"about_ca_system_score_gemma":0.0001134438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000227649,"about_ca_topic_score_gemma":0.00003212059,"domain_scores_codex":[0.9966314,0.0005932203,0.0006150511,0.0006880452,0.0008408896,0.0006313791],"domain_scores_gemma":[0.9985453,0.0003785933,0.0002407705,0.0004348888,0.0001208245,0.0002796097],"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":[0.002865347,0.01364473,0.09106437,0.00006099766,0.00009436721,0.00001701139,0.02737916,0.002270459,0.002458111,0.0004261516,0.001534201,0.8581851],"study_design_scores_gemma":[0.003466202,0.007960226,0.9703619,0.001863926,0.0001068513,0.00002019485,0.002697496,0.01072394,0.001020311,0.001440992,0.000007815214,0.0003300699],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953073,0.0000675743,0.00004737018,0.001552853,0.001115606,0.001393904,0.000004435929,0.0003585895,0.0001523388],"genre_scores_gemma":[0.9994995,0.00000521307,0.00006071409,0.00004211077,0.0002139868,0.0000602417,0.00005894644,0.00005084903,0.000008418238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8792976,"threshold_uncertainty_score":0.9999574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456526522706459,"score_gpt":0.4033992775584291,"score_spread":0.3888340123313645,"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."}}