{"id":"W2404843759","doi":"10.3233/978-1-61499-564-7-237","title":"Lead User Design: Medication Management in Electronic Medical Records","year":2015,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Victoria","funders":"","keywords":"Usability; Patient safety; Computer science; Medical record; Lead (geology); User-centered design; Quality (philosophy); Set (abstract data type); Medicine; Human–computer interaction; Health care","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03188633,0.0008783274,0.0005936255,0.00189297,0.001450028,0.002965705,0.001292238,0.001171253,0.006674845],"category_scores_gemma":[0.08182389,0.0006399701,0.0007842956,0.001014311,0.001079256,0.002530706,0.002293527,0.0008804783,0.00168625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001291664,"about_ca_system_score_gemma":0.002886133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004563681,"about_ca_topic_score_gemma":0.001093267,"domain_scores_codex":[0.9564735,0.0366928,0.001752762,0.001326688,0.003247066,0.0005071932],"domain_scores_gemma":[0.9254561,0.05354253,0.003485266,0.006895356,0.009707098,0.0009137633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001982678,0.001823693,0.03000267,0.00696442,0.0001965604,0.0008005607,0.08645162,0.001987257,0.03062012,0.01514508,0.01283606,0.8111893],"study_design_scores_gemma":[0.004932759,0.04564246,0.07409383,0.008826816,0.002208812,0.006487989,0.07171142,0.02944377,0.1441447,0.043428,0.5682594,0.0008200007],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3548115,0.001433051,0.5899584,0.00311453,0.0003517593,0.01318072,0.0006576583,0.003456759,0.03303564],"genre_scores_gemma":[0.4344949,0.0006688914,0.5471069,0.001088576,0.0001084997,0.008302966,0.0003344672,0.0003934325,0.007501402],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03188633,"threshold_uncertainty_score":0.168633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2553122136223234,"score_gpt":0.4964117020842426,"score_spread":0.2410994884619193,"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."}}