{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02287759,0.0005772153,0.0008762722,0.001511466,0.0004009217,0.0008614205,0.0005697496,0.0006841577,0.001578101],"category_scores_gemma":[0.04374962,0.0004644975,0.001678795,0.0007265125,0.0005192423,0.001262751,0.0008254156,0.0006311283,0.0003254076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006189089,"about_ca_system_score_gemma":0.0007799445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004492155,"about_ca_topic_score_gemma":0.0005948747,"domain_scores_codex":[0.9848821,0.00970232,0.001749975,0.0007751485,0.002492398,0.0003980302],"domain_scores_gemma":[0.9253735,0.05564205,0.008837674,0.002215368,0.005719464,0.002211973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01570532,0.08796673,0.4877802,0.003604862,0.001534055,0.0004526961,0.01326702,0.001746186,0.006710541,0.000264004,0.002181394,0.378787],"study_design_scores_gemma":[0.003470522,0.1325015,0.8470443,0.0004398038,0.000747408,0.0003267666,0.00329727,0.006027332,0.003133015,0.00008219469,0.002802936,0.0001269928],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971162,0.0001376289,0.0005458565,0.00005951355,0.00002443859,0.001133569,0.00007096322,0.0000286302,0.0008832084],"genre_scores_gemma":[0.9928305,0.0002387716,0.004257185,0.0001159996,0.0000543408,0.001791483,0.0001315155,0.00001414245,0.0005660536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02287759,"threshold_uncertainty_score":0.1209897,"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."}}