{"id":"W2473187811","doi":"10.2196/humanfactors.5820","title":"Usability Testing of a National Substance Use Screening Tool Embedded in Electronic Health Records","year":2016,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Workflow; System usability scale; Electronic health record; Documentation; Medicine; Health care; Computer science; Heuristic evaluation; Database; Human–computer interaction","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":[],"consensus_categories":[],"category_scores_codex":[0.004141522,0.0002860469,0.0006948452,0.0003671655,0.0005629861,0.000009905711,0.0003259832,0.0002619782,0.0003194104],"category_scores_gemma":[0.00200098,0.000219163,0.00009281347,0.0007839612,0.00009689577,0.0004800229,0.00006054998,0.0009850799,0.00003350668],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003885763,"about_ca_system_score_gemma":0.003233711,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003681145,"about_ca_topic_score_gemma":0.02069447,"domain_scores_codex":[0.9933481,0.001624999,0.001962215,0.0005927361,0.0007194843,0.001752481],"domain_scores_gemma":[0.9939056,0.003815292,0.0010953,0.0004925723,0.0004767513,0.0002144682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004793535,0.0000951952,0.9892873,0.0003690552,0.00001252313,4.932616e-7,0.002896806,0.000002666301,0.001718066,0.001858742,0.0009140643,0.002797202],"study_design_scores_gemma":[0.001539131,0.0004311258,0.9904835,0.001565312,0.000001954506,0.000001044326,0.0005975822,0.00005001928,0.0001171192,0.001402292,0.00352369,0.000287238],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959923,0.00009254422,0.0004091865,0.0003411112,0.0002226632,0.002159024,0.00005921864,0.0001553983,0.0005685732],"genre_scores_gemma":[0.9976616,0.00001551486,0.0003995294,0.0002322058,0.0001803538,0.0003583535,0.00001813944,0.00005291748,0.001081422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01701332,"threshold_uncertainty_score":0.9999381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2036661398255152,"score_gpt":0.4582587000225307,"score_spread":0.2545925601970156,"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."}}